Image coding method, image decoding method, image coding apparatus, image decoding apparatus, and image coding and decoding apparatus

ABSTRACT

An image coding method comprising: obtaining current signals to be coded of each of the processing units of the image; generating a binary signal by performing binarization on each of the current signals to be coded; selecting a context for each of the current signals to be coded from among a plurality of contexts; performing arithmetic coding of the binary signal by using coded probability information associated with the context selected in the selecting; and updating the coded probability information based on the binary signal, wherein, in the selecting, the context for the current signal to be coded is selected, as a shared context, for a signal which is included in one of a plurality of processing units and has a size different from a size of the processing unit including the current signal to be coded.

CROSS REFERENCE TO RELATED APPLICATIONS

This is a continuation of application Ser. No. 15/995,654, filed Jun. 1,2018, which is a continuation of application Ser. No. 15/498,774, filedApr. 27, 2017, now U.S. Pat. No. 10,015,494 which is a continuation ofapplication Ser. No. 14/951,893, filed Nov. 25, 2015, now U.S. Pat. No.9,681,137, which is a continuation of application Ser. No. 14/271,930,filed May 7, 2014, now U.S. Pat. No. 9,258,558, which is a continuationof application Ser. No. 13/348,041, filed Jan. 11, 2012, now U.S. Pat.No. 8,755,620, which is based on and claims the benefit of U.S.Provisional Patent Application No. 61/431,912 filed Jan. 12, 2011. Theentire disclosures of the above-identified applications, including thespecification, drawings and claims are incorporated herein by referencein their entirety.

BACKGROUND OF THE INVENTION (1) Field of the Invention

The present invention relates to image coding methods, image decodingmethods, image coding apparatuses, and image decoding apparatuses, andin particular to an image coding method, an image decoding method, animage coding apparatus, an image decoding apparatus, and an image codingand decoding apparatus intended to perform arithmetic coding or/andarithmetic decoding.

(2) Description of the Related Art

Recent years have seen an increase in the number of applications forservices of, for example, video on demand type services. Examples ofsuch services include video-conferencing through the Internet, digitalvideo broadcasting, and streaming of video contents. These applicationsrequire that video data having a substantial amount of digital data istransmitted through transmission channels and is stored on storagemedia. However, conventional transmission channels have a limitedavailable frequency bandwidth, and conventional storage media have alimited capacity. Accordingly, in order to transmit the video data usinga conventional transmission channel and to record the video data onto aconventional recording medium, it is inevitable to compress or reducethe amount of the video data.

For the purpose of compressing video data, many video coding standardshave been developed. Such video coding standards are, for instance,International Telecommunication Union Telecommunication StandardizationSector (ITU-T) standards denoted with H.26x and ISO/IEC standardsdenoted with MPEG-x. The most advanced video coding standards arecurrently the standards denoted as H.264/AVC or MPEG-4/AVC (see ISO/IEC14496-10, “MPEG-4 Part 10 Advanced Video Coding”, and Thomas Wiegand etal, “Overview of the H. 264/AVC Video Coding Standard”, IEEETRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, JULY 2003,pp. 560-576).

The data compression processes in the H.264/AVC Standard is roughlydivided into prediction, transform, quantization, and entropy coding.The entropy coding is intended to reduce redundant information ininformation to be used for the prediction and quantized information.Representatives of entropy coding include variable-length coding,adaptive coding, and fixed-length coding. Representatives ofvariable-length coding include Huffman coding, run-length coding, andarithmetic coding. Among these, the arithmetic coding is known as ascheme which is intended to determine output codes using contexts foridentifying symbol occurrence probabilities and which provides a highcoding efficiency by switching contexts according to the features of animage, compared to Huffman coding which uses a fixed coding table.

SUMMARY OF THE INVENTION

However, the conventional arithmetic coding has a problem of notproviding a sufficient coding efficiency. The present invention has beenmade to solve the aforementioned problem, with an aim to provide animage coding method, an image coding apparatus, an image decodingmethod, an image decoding apparatus, and an image coding and decodingapparatus which make it possible to increase coding efficiency.

In order to achieve the aforementioned problem, an image coding methodaccording to the present invention is for compression-coding an imageincluding a plurality of processing units having mutually differentsizes, the image coding method comprising: obtaining current signals tobe coded of each of the processing units of the image (S401); generatinga binary signal by performing binarization on each of the currentsignals to be coded (S402); selecting a context for each of the currentsignals to be coded from among a plurality of contexts (S403);performing arithmetic coding of the binary signal by using codedprobability information associated with the context selected in theselecting (S404); and updating the coded probability informationassociated with the context selected in the selecting, based on thebinary signal generated in the generating (S405), wherein, in theselecting, the context for the current signal to be coded is selected,as a shared context, for a signal which is included in one of aplurality of processing units and has a size different from a size ofthe processing unit including the current signal to be coded.

For example, it is possible to apply the same context for the signals tobe coded having the same statistical properties. For this reason, theimage coding method according to the present invention is intended toselect the shared context for the signals having the same statisticalproperties even when the processing unit sizes are different. In thisway, it is possible to reduce the number of contexts to be used. Thisreduction in the number of the contexts makes it possible to reduce thesize of memory for storing the contexts. Here, it is unnecessary thatthe image coding method according to the present invention is configuredto use all of the contexts for different processing units. In otherwords, the image coding method according to the present invention may beconfigured to partly use the contexts exclusively for a particularprocessing unit.

Conventionally, the number of contexts is large because a differentcontext is set based on a processing unit size and on a coefficientposition or a surrounding condition. In the case where a large number ofcontexts is used, there is a possibility that the numbers of updates ofcoded probability information for some of the contexts are small and theaccuracies of the coded probability information are not assured. Incontrast, as described above, the image coding method according to thepresent invention makes it possible to reduce the number of contexts, toincrease the numbers of updates for the contexts to be selected andshared, and to increase the prediction accuracy of the coded probabilityinformation. This increase in the accuracy of the coded probabilityinformation makes it possible to increase the coding efficiency.

According to the image coding method of the present invention, thecontext which is set as a shared context in advance may be selected inthe case where the size of the processing unit including the currentsignal to be coded obtained in the obtaining is larger than apredetermined size.

Here, generally, a context is selected according to a surroundingcondition. When the processing unit size is comparatively large, thestatistical properties become approximately the same, and thus, the sameshared context can be used. An aspect of the image coding methodaccording to the present invention makes it possible to reduce thenumber of contexts by using a shared context in the case where theprocessing unit size is larger than the predetermined size. In this way,it is possible to increase the prediction accuracy of the codedprobability information and to thereby increase the coding efficiency inthe case where the processing unit size is larger than the predeterminedsize.

The image coding method of the present invention may further compriseperforming frequency transform on the image to generate transformcoefficients of frequency components and to generate the current signalsto be coded which respectively indicate the transform coefficients ofthe frequency components, wherein in the selecting, the context which isset as a dedicated context for a processing unit which is included inthe processing units may be selected in the case where the frequencycomponent corresponding to the current signal to be coded is lower thana predetermined frequency.

In this way, it is possible to select a context adapted to the featuresof the image.

The image coding method according to the present invention may furthercomprise segmenting the image into a plurality of sub blocks each havingthe same sub processing unit size, wherein in the generating, the binarysignal may be generated by performing binarization on the currentsignals to be coded of each of the sub blocks, and in the selecting, thecontext which may be set for each of the sub blocks having the subprocessing unit size in advance is selected. It is possible to apply thesame context by setting the context based on the sub block size,irrespective of whether the block size is large or small.

In order to achieve the aforementioned problem, an image decoding methodaccording to the present invention is for reconstructing a coded imageincluding a plurality of processing units having mutually differentsizes by decoding the coded image, the image decoding method comprising:obtaining current signals to be decoded of each of the processing unitsof the coded image (S501); selecting a context of each of the currentsignals to be decoded from among a plurality of contexts (S502);generating a binary signal by performing arithmetic decoding of thecurrent signal to be decoded by using decoded probability informationassociated with the context selected in the selecting (S503);reconstructing the coded image by performing multi-value conversion onthe binary signal (S504); and updating the decoded probabilityinformation associated with the context selected in the selecting, basedon the binary signal (S505), wherein, in the selecting, the context forthe current signal to be decoded is selected, as a shared context, for asignal which is included in a plurality of processing units and has asize different from a size of the processing unit including the currentimage to be decoded.

In this way, it is possible to appropriately decode the coded imagecoded using the image coding method according to the present invention.As in the image coding method according to the present invention, it ispossible to reduce the number of contexts. Furthermore, it is possibleto increase the numbers of updates for the contexts, and to therebyincrease the prediction accuracy of decoded probability information.

According to the image decoding method of the present invention, in theselecting, the context which is set as a shared context in advance maybe selected in the case where the processing unit size of the processingunit including the current signals to be coded obtained in the obtainingis larger than a predetermined size.

In this way, it is possible to reduce the number of contexts because theshared context is used when the processing unit size is larger than thepredetermined size. In this way, it is possible to increase theprediction accuracy of the coded probability information and to therebyincrease the coding efficiency in the case where the processing unitsize is larger than the predetermined size.

According to the image decoding method of the present invention, in theselecting, the context which is set as a dedicated context in advancefor a processing unit included in the processing units may be selectedwhen the frequency component corresponding to the current signal to bedecoded is lower than a predetermined frequency in the case where thecurrent signal to be decoded is a signal indicating one of transformcoefficients of frequency components generated through frequencytransform in the generation of the coded image.

According to the image decoding method of the present invention, in theselecting, the context which is set as a shared context in advance forprocessing units which are included in the processing units and havehigh frequencies which are higher than the predetermined frequency maybe selected when the frequency component corresponding to the currentsignal to be decoded is higher than the predetermined frequency in thecase where the current signal to be decoded is a signal indicating oneof transform coefficients of frequency components generated throughfrequency transform in the generation of the coded image.

In this way, it is possible to select a context adapted to the featuresof the image.

According to the image decoding method of the present invention, in thecase where the coded image is a coded image generated by segmenting theimage into a plurality of sub blocks each having the same sub processingunit size, and performing binarization and arithmetic coding of each ofthe sub blocks, in the selecting, the context which is set as a contextfor each of the sub blocks having the sub processing unit size may beselected.

It is possible to apply the same context by setting the context based onthe sub block size, irrespective of whether the block size is large orsmall.

It is to be noted that the present invention can be realized orimplemented not only as image coding methods, but also as image codingapparatuses which include processing units for performing the processingsteps included in the image coding methods. Likewise, the presentinvention can be realized or implemented not only as image decodingmethods, but also as image decoding apparatuses which include processingunits for performing the processing steps included in the image decodingmethods. Furthermore, the present invention can be realized orimplemented as image coding and decoding apparatuses which includeprocessing units for performing the processing steps included in boththe image coding methods and the image decoding methods.

Furthermore, these steps may be realized as a program for causing acomputer to execute these steps. Furthermore, the present invention maybe implemented as recording media such as computer-readable CompactDisc-Read Only Memories (CD-ROMs) including the programs recordedthereon, and information, data, and/or signals representing theprograms. Naturally, the program, information, data, and signals may bedistributed through communication networks such as the Internet.

Some or all of the structural elements which make up any one of theimage coding apparatuses and the image decoding apparatuses may beconfigured in the form of a single system Large Scale Integration (LSI).Such a system LSI is a super multifunctional LSI manufactured byintegrating plural structural element units on a single chip. Forexample, the system LSI is a computer system configured to include amacro processor, a ROM, a Random Access Memory (RAM), and the like.

The present invention makes it possible to perform predictions of symboloccurrence probabilities with high accuracy, and to thereby increase theimage coding efficiency.

BRIEF DESCRIPTION OF THE DRAWINGS

These and other objects, advantages and features of the invention willbecome apparent from the following description thereof taken inconjunction with the accompanying drawings that illustrate a specificembodiment of the present invention. In the Drawings:

FIG. 1 is a block diagram showing a structure of an arithmetic codingapparatus according to conventional art;

FIG. 2 is a flowchart indicating an arithmetic coding method accordingto conventional art;

FIG. 3 is a block diagram showing an example of a structure of anarithmetic coding unit of an image coding apparatus according to thepresent invention;

FIG. 4 is a diagram showing an example of a signal information table foruse in an image coding method and an/the image coding apparatusaccording to the present invention;

FIG. 5A is a block diagram showing an example of a context table for usein an/the image coding method and an/the image coding apparatusaccording to the present invention;

FIG. 5B is a block diagram showing an example of a context table for usein an/the image coding method and an/the image coding apparatusaccording to the present invention;

FIG. 5C is a block diagram showing an example of a context table for usein an/the image coding method and an/the image coding apparatusaccording to the present invention;

FIG. 6 is a flowchart indicating a processing procedure in an arithmeticcoding method in an/the image coding method according to the presentinvention;

FIG. 7 is a flowchart indicating a processing procedure in an/thearithmetic coding method in an/the image coding method according to thepresent invention;

FIG. 8 is a flowchart indicating an example of a processing procedure ina context block classification control unit which constitutes an/theimage coding method and an/image coding apparatus according to thepresent invention;

FIG. 9 is a flowchart indicating an example of a processing procedure ina context block classification control unit which constitutes an/theimage coding method and an/image coding apparatus according to thepresent invention;

FIG. 10A is a flowchart indicating an example of a processing procedurein a context block classification control unit which constitutes an/theimage coding method and an/image coding apparatus according to thepresent invention;

FIG. 10B is a flowchart indicating an example of a processing procedurein a context block classification control unit which constitutes an/theimage coding method and an/image coding apparatus according to thepresent invention;

FIG. 11 is a schematic diagram illustrating a surrounding conditioncalculation method in an/the image coding method and an/image codingapparatus according to the present invention;

FIG. 12 is a block diagram showing an example of a whole structure ofan/the image coding apparatus according to the present invention;

FIG. 13 is a block diagram showing an example of a structure of an/thearithmetic decoding unit of an/the image decoding apparatus according tothe present invention;

FIG. 14 is a flowchart indicating a processing procedure in anarithmetic decoding method in an/the image decoding method according tothe present invention;

FIG. 15 is a flowchart indicating an example of an arithmetic decodingmethod in an/the image decoding method according to the presentinvention;

FIG. 16 is a block diagram showing an example of a whole structure ofan/the image coding apparatus according to the present invention;

FIG. 17 is an overall configuration of a content providing system forimplementing content distribution services;

FIG. 18 is an overall configuration of a digital broadcasting system;

FIG. 19 is a block diagram illustrating an example of a structure of atelevision receiver;

FIG. 20 is a block diagram illustrating an example of a structure of aninformation reproducing and recording unit that reads and writesinformation from or on a recording medium that is an optical disk;

FIG. 21 is a drawing showing an example of a structure of a recordingmedium that is an optical disk;

FIG. 22A is a drawing illustrating an example of a mobile phone;

FIG. 22B is a block diagram illustrating a structure of the mobilephone;

FIG. 23 is a drawing showing a structure of multiplexed data;

FIG. 24 is a drawing schematically illustrating how each of the streamsis multiplexed in multiplexed data;

FIG. 25 is a drawing illustrating how a video stream is stored in astream of PES packets in more detail;

FIG. 26 is a drawing showing a structure of TS packets and sourcepackets in the multiplexed data;

FIG. 27 is a drawing showing a data structure of a PMT;

FIG. 28 is a drawing showing an internal structure of multiplexed datainformation;

FIG. 29 is a drawing showing an internal structure of stream attributeinformation;

FIG. 30 is a drawing showing steps for identifying video data;

FIG. 31 is a block diagram illustrating an example of a structure of anintegrated circuit for implementing the moving picture coding method andthe moving picture decoding method according to any one of theembodiments;

FIG. 32 is a drawing showing a structure for switching between drivingfrequencies;

FIG. 33 is a drawing showing steps for identifying video data andswitching between driving frequencies;

FIG. 34 is a drawing showing an example of a look-up table in whichstandards of video data are associated with driving frequencies;

FIG. 35A is a drawing showing an example of a structure for sharing amodule of a signal processing unit; and

FIG. 35B is a drawing showing another example of a structure for sharinga module of a signal processing unit.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

First, a basic structure of a conventional image coding apparatus and aconventional image coding method are described before explainingembodiments of the present invention.

The conventional image coding apparatus executes compression codingprocessing composed of prediction, transform and quantization, andentropy coding on a current signal to be coded of an image.

Hereinafter, the entropy coding among the processes performed by theimage coding apparatus is described with reference to FIG. 1 and FIG. 2.Here, arithmetic coding is explained as the entropy coding.

FIG. 1 is a block diagram showing a structure of an arithmetic codingunit which executes the conventional arithmetic coding method. FIG. 2 isa flowchart indicating a processing procedure of the arithmetic codingmethod (an example of the entropy coding) conforming to the conventionalH.264/AVC Standard.

As shown in FIG. 1, the arithmetic coding unit 10 includes abinarization unit 11, a symbol occurrence probability storage unit 12, acontext control unit 13, and a binary arithmetic encoder 14.

The arithmetic coding unit 10 receives, as inputs, (i) an input signalSI that is a current signal to be coded which becomes a coding target,(ii) a signal type information SE that indicates the type of the inputsignal SI, and (iii) a block size signal BLKS that indicates the blocksize of the input signal SI. Hereinafter, descriptions are givenassuming a case where the input signal SI is a signal indicating acurrent one of the quantized coefficients generated by quantizing theimage is a zero coefficient and a case where the input signal SI is asignal indicating a current one of the quantized coefficients is anon-zero coefficient.

The binarization unit 11 executes, based on the signal type informationSE, a two-value conversion (binarization) process for converting theinput signal SI into binary information (a symbol) of “0” or “1”, andsends a binary signal BIN to the binary arithmetic encoder 14 and thecontext control unit 13.

The symbol occurrence probability storage unit 12 stores (i) a singlesignal information table and (ii) a context table which includes aplurality of contexts prepared for different block sizes and conditions.

This signal information table is a table which stores contexts,probability information indicating symbol occurrence probabilities PE,and symbols in an associated manner. The symbol occurrence probabilitiesPE are probability information for use in processing by the binaryarithmetic encoder 104 which will be described later.

Here, FIG. 4 shows an example of a signal information table in whichindices ctxIdx, occurrence probabilities pStateIdx, and symbols valMPSwhich are symbols each having a high occurrence probability (MostProbable Symbols) are respectively associated with each other. Each ofthe indices ctxIdx indicates a context. In addition, the probabilityinformation pStateIdx and the symbol valMPS are the same as shown in theH.264 Standard. In other words, each of the probabilities pStateIdx isan index indicating a value of a corresponding one of the symboloccurrence probabilities PE. The symbol occurrence probability storageunit 12 further stores an occurrence probability table (not shown)indicating a value of one of the symbol occurrence probabilities PEwhich corresponds to the probability information pStateIdx.

The context table is a table which stores a plurality of contexts ctxIdxfor different block sizes BLKS and conditions. Here, such conditions aredetermined according to the positions of the quantized coefficients ofcurrent signals to be coded.

Here, FIG. 5A is a block diagram showing an example of a conventionalcontext table. More specifically, for example, in Table 1, (i) a contextctxIds 0 is set for a condition 0 indicating the position of acoefficient corresponding to a low frequency component, (ii) a contextctxIds 1 is set for a condition 1 indicating the position of acoefficient corresponding to a low frequency component, and (iii) acontext ctxIds 2 is set for conditions 2 and 3 each indicating asurrounding condition corresponding to a high frequency component. Inaddition, for example, in Table 2, (i) a context ctxIds 14 is set forconditions 4 and 5 each indicating the position of a coefficientcorresponding to a low frequency component, and (ii) a context ctxIds 15is set for conditions 6 and 7 each indicating a surrounding conditioncorresponding to high frequency components.

It is assumed here, for example, that Table 1 is used for a block size Athat is a 4×4 block size, and that Table 2 is used for a block size Bthat is an 8×8 block size. As shown in FIG. 5A, the values 0, 1, and 2of the contexts ctxIdx for use in Table 1 are not used in Table 2. Table1 and Table 2 respectively correspond to different block sizes, and thusdifferent contexts ctxIdx are set for different block sizes.

The context control unit 13 performs context control processing ofreading out the symbol occurrence probability PE corresponding to theblock size shown by a block size signal BLKS and a condition determinedbased on the signal type information from the symbol occurrenceprobability storage unit 12, and outputting the read-out symboloccurrence probability PE to the binary arithmetic encoder 14. Inaddition, the context control unit 13 calculates a new symbol occurrenceprobability PE based on a binary signal BIN which is input from thebinarization unit 11. After the context control processing is executed,the context control unit 13 performs update processing by replacing,with the new symbol occurrence probability PE, the symbol occurrenceprobability PE identified in the context control processing from amongthe contexts ctxIdx stored in the symbol occurrence probability storageunit 12.

The binary arithmetic encoder 14 generates an output signal OB byperforming arithmetic coding on the binary signal BIN input from thebinarization unit 11, based on the symbol occurrence probability PE readout by the context control unit 13, and outputs the generated outputsignal OB.

Next, a flow of arithmetic coding procedure is described with referenceto FIG. 2.

The arithmetic coding unit 10 starts the arithmetic coding uponreceiving the input signal SI, the block size signal BLKS, and thesignal type information SE.

Upon the arithmetic coding is started, in Step 11, the binarization unit11 executes binarization using a predetermined approach according to thesignal type information SE.

In Step S12, the context control unit 13 obtains the block size of theinput signal SI based on the block size signal BLKS, and obtains theposition of the coefficient as a condition, based on the signal typeinformation SE. Furthermore, the context control unit 13 identifies thecontext ctxIdx corresponding to the block size and condition of theinput signal SI, based on the context table stored in the symboloccurrence probability storage unit 12. Furthermore, the context controlunit 13 further identifies the symbol occurrence probability PE based onthe signal information table shown in FIG. 4, and causes the symboloccurrence probability storage unit 12 to output the identified symboloccurrence probability PE to the binary arithmetic encoder (contextcontrol processing).

In Step S13, the binary arithmetic encoder 14 performs arithmetic codingon the binary signal BIN using the symbol occurrence probability PEreceived from the symbol occurrence probability storage unit 12 in StepS12, and outputs the result as the output signal OB.

In Step S14, the context control unit 13 calculates a new symboloccurrence probability PE based on the binary signal BIN calculated bythe binarization unit 11 in Step S11, and updates the value of thecorresponding occurrence probability pStateIdx in the signal informationtable stored in the symbol occurrence probability storage unit 12. Uponthe arithmetic coding on the input signal SI is completed, arithmeticcoding on a next signal to be processed (not shown) is performed.

As described above, the conventional technique shown in FIG. 1 and FIG.2 sets contexts for different block sizes and conditions. In otherwords, contexts a set based on very fine classifications.

However, it is highly likely that very fine classifications producecontexts which have a low occurrence frequency for update processing ofthe symbol occurrence probability PE. A context having a low occurrencefrequency for update processing decreases an accuracy of the symboloccurrence probability PE. This makes it difficult to perform controladapted to features of an image although such control is an advantageouseffect of the arithmetic coding. As a result, the coding efficiency isdecreased.

For this reason, such classifications need to be set appropriately inorder to increase the accuracy of the symbol occurrence probabilities PEand to thereby perform control adapted to the features of the image.

The conventional video coding standard supports only limited block sizessuch as a 4×4 block size and an 8×8 block size. However, recently, thereis a demand for supporting other block sizes such as a 16×16 block sizeand a 32×32 block size. An increase in the number of block sizessignificantly increases the number of contexts. Thus, conventionally,there is a problem that the update frequency of the symbol occurrenceprobability PE may be further decreased.

Hereinafter, embodiments of the present invention are described withreference to the drawings. It is to be noted that each of theembodiments described below shows a preferred specific example of thepresent invention. The values, shapes, materials, structural elements,the arrangement and positions of the structural elements, the connectionstates of the structural elements, the steps, the order of the steps areall examples, and thus should not be interpreted as limiting the presentinvention. The present invention is limited based only on the scope ofthe Claims. Therefore, the structural elements which are not defined inindependent Claims each of which indicates the most generic concept ofthe present invention among the structural elements in the embodimentsindicated below are not always necessary for achieving the aim of thepresent invention, but explained as constituting the preferredembodiments.

Embodiment 1

Embodiment 1 relating to an image coding method and an image codingapparatus according to the present invention is described with referenceto FIG. 3 to FIG. 8.

The image coding method according to the present invention particularlyrelates to an arithmetic coding method as an example of entropy codingamong compression coding composed of prediction, transform andquantization, entropy coding, and the like performed on a current signalto be coded of an image. In addition, the image coding apparatusaccording to the present invention is configured to include a predictionunit, a transform and quantization unit, and an arithmetic coding unit(entropy coding unit) which executes the arithmetic coding method. Theoverall structure of the image coding apparatus is described later.

(Outline of Embodiment 1)

The outline of an arithmetic coding method and an arithmetic coding unitaccording to Embodiment 1 is firstly described. Here, a description isgiven of a case where a signal indicating whether a current one of thequantized coefficients of frequency components generated throughtransform and quantization is a zero coefficient or a non-zerocoefficient is input as an input signal SI to the arithmetic codingunit.

In the case where the input signal SI is a signal corresponding to ahigh frequency component, for example, when the block size is a largeblock size larger than a 16×16 block size, the symbol occurrenceprobability PE is determined based on a surrounding condition. In otherwords, the high frequency components in the blocks having a 16×16 blocksize or larger have the same statistical properties of the image, andthus the same context is applicable thereto when the conditions(surrounding conditions) are the same even if the block sizes aredifferent.

In contrast, in the case where the input signal SI corresponds to a lowfrequency component in a block having a large size, the symboloccurrence probability PE is determined based on the position of thecoefficient. More specifically, the signal corresponding to the lowfrequency component including an orthogonal component is (i) a signalhaving a high likelihood of having the features of the image and (ii) apart from which the statistical information can be easily obtainedbecause of a high presence frequency of a signal of SignificantFlag. Forthis reason, in the case of the input signals SI corresponding to thelow frequency components in the large block sizes, it is possible toperform arithmetic coding using the statistical information adapted tothe features of the image more significantly than conventional bysetting different contexts without setting a shared context when theblock sizes are different even when the conditions (the positions of thecoefficients) are the same. This makes it possible to increase thecoding efficiency.

As described above, in Embodiment 1, (i) in the case of the inputsignals SI of high frequency components in large blocks having a largeblock size, the context which is set for the same condition is partly orfully shared between the blocks having different block sizes, and (ii)in the case of the input signal SI of a low frequency component in theblock having a large block size and the input signal SI of a lowfrequency component in the block having a small block size, contexts areset for the respective block sizes and conditions without contextsharing between the blocks.

Here, there is little disadvantage of using such a shared context forthe low frequency components in the blocks having a large block size.Thus, it is also good to use a shared context for the input signals SIcorresponding to the blocks having the large block size irrespective ofwhether each of the input signals SI corresponds to a low frequencycomponent or a high frequency component. A preferable method ofselecting context sharing targets is to set the targets according to theinput signals SI which are the coding target signals and the details ofthe signal type information SE.

(Structure of Arithmetic Coding Unit in Embodiment 1)

Next, a description is given of the structure of an arithmetic codingunit which performs an arithmetic coding method according to Embodiment1.

Here, FIG. 3 is a block diagram showing an example of the structure ofthe arithmetic coding unit 100 according to Embodiment 1.

As shown in FIG. 3, the arithmetic coding unit 100 includes abinarization unit 101, a symbol occurrence probability storage unit 102,a context control unit 103, a binary arithmetic encoder 104, and acontext block classification control unit 105.

The arithmetic coding unit 100 generates an output signal OB byexecuting arithmetic coding on an input signal SI which is a currentsignal to be coded, and outputs the generated output signal OB. InEmbodiment 1, the arithmetic coding unit 100 receives, as inputs, theinput signal SI, a signal type information SE indicating the type of theinput signal SI, and a block size signal BLKS indicating the block sizeof the input signal SI.

Here, in Embodiment 1, descriptions are given assuming a case where theinput signal SI is a signal indicating whether a current one of thequantized coefficients of frequency components generated by quantizingthe image is a zero coefficient or a non-zero coefficient (a signalcalled SignificantFlag in H.264). It is to be noted that the inputsignal SI is not limited thereto, and may be a raw quantized coefficientor may be information used to generate the quantized coefficient.

In addition, the signal type information SE is information indicatingthe properties of the input signal SI which is the current signal to becoded. More specifically, in Embodiment 1, descriptions are givenassuming a case where the input signal SI is a position informationindicating the position of the quantized coefficient and information (asurrounding condition) indicating whether the quantized coefficientssurrounding the current quantized coefficient are zero or non-zero. Itis to be noted that the signal type information SE is not limitedthereto, and may be, for example, information indicating whether thedirect component of the quantized coefficient is zero or non-zero, ormay be information indicating a prediction direction in the case wherethe prediction method applied to the input signal SI is intraprediction.

Embodiment 1 is configured to receive block size signals BLKS assumingthat contexts are set suitably for block sizes. However, it is possibleto configure an embodiment which does not use such block size signalsBLKS in the case of setting contexts according to other features of theimage.

The binarization unit 101 generates a binary signal by performingbinarization on the current signal to be coded. More specifically, thebinarization unit 101 generates a binary signal BIN by performingbinarization for converting the input signal SI which is the currentsignal to be coded into binary information (a symbol) of “0” or “1”,based on the signal type information SE. The binarization unit 101 sendsthe generated binary signal BIN to the binary arithmetic encoder 104 andthe context control unit 103.

The symbol occurrence probability storage unit 102 is a storage unitconfigured with a non-volatile memory or the like, and stores a signalinformation table and a plurality of context tables. Here, the pluralityof context tables is generated and stored in advance. The same pluralityof context tables are stored also in the symbol occurrence probabilitystorage unit 302 which constitutes an image decoding apparatus accordingto Embodiment 2 described later. The symbol occurrence probabilitystorage unit 102 further stores an occurrence probability table (notshown) indicating a value of one of the symbol occurrence probabilitiesPE which corresponds to the probability information pStateIdx.

The signal information table is the same as a conventional signalinformation table shown in FIG. 4, and stores indices ctxIdx indicatingcontexts, occurrence probabilities pStateIdx, and symbols valMPS in anassociated manner.

Here, the table storing the occurrence probabilities pStateIdx which areindices indicating the symbol occurrence probabilities PE and ctxIdxindicating the contexts in an associated manner is used as the signalinformation table. However, it is noted that a table storing contextsctxIdx and the values of symbol occurrence probabilities PE in adirectly associated manner may be used instead. In this case, it ispossible to handle values finer than values managed in the table byrepresenting the values of the symbol occurrence probabilities PE, forexample, at a 16-bit accuracy (0-65535), and to thereby increase thecoding efficiency.

In Embodiment 1, the context table is composed of a plurality of tablesin which contexts ctxIds are set according to conditions. The contextsctxIds are the same as the indices ctxIds in the aforementioned signalinformation table. Here, each of FIG. 5B and FIG. 5C shows an example ofa context table for use in Embodiment 1.

In Table 3 of FIG. 5B, (i) a context ctxIds 0 is set for a condition 10indicating the position of a coefficient corresponding to a lowfrequency component, (ii) a context ctxIds 1 is set for a condition 11indicating the position of a coefficient corresponding to a lowfrequency component, and (iii) a context ctxIds 2 is set for conditions12 and 13 each indicating a surrounding condition corresponding to highfrequency components. In addition, in Table 4, (i) a context ctxIds 3 isset for a condition 14 indicating the position of a coefficientcorresponding to a low frequency component, (ii) a context ctxIds 4 isset for a condition 15 indicating the position of a coefficientcorresponding to a low frequency component, and (iii) a context ctxIds 2is set for conditions 16 and 17 each indicating a surrounding conditioncorresponding to high frequency components.

Here, the index ctxIdx associated with the high frequency components(the conditions are 12 and 13) in Table 3 and the index ctxIdxassociated with the high frequency components (the conditions are 16 and17) in Table 4 are set to have the same value 2. In this way, the blocksize corresponding to Table 3 and the block size corresponding to Table4 share the context for the input signals SI corresponding to highfrequency components.

The context table shown in FIG. 5C is a variation example of the contexttable shown in FIG. 5B, and is composed of three Tables 5 to 7. Table 5and Table 6 are used for setting contexts based on block sizes.Specifically, Table 5 and Table 6 correspond to a block size A (forexample, a 4×4 small block size) and a block size B (for example, an 8×8small block size), respectively. In addition, Table 7 is used to set ashared context irrespective of the block size of the input signal SI andwhether the input signal SI is a low frequency component or a highfrequency component. For example, Table 7 corresponds to a large blocksize such as a block size C (for example, a 16×16 block size), a blocksize D (for example, a 32×32 block size), and a block size E (forexample, a 64×64 block size). The settings for Table 5 and Table 6 arethe same as the settings for Table 1 and Table 2. In Table 7, a contextctxIds 18 is set for a condition 18, and a context ctxIds 19 is set fora condition 19.

It is to be noted in Embodiment 1 that conditions are determinedaccording to one of (i) information (a surrounding condition) of bitssurrounding a current signal to be coded in a macroblock, (ii)information related to bits already subjected to arithmetic coding inthe macroblock, and (iii) the bit position (position information,coefficient information) of the current signal to be coded.

The context control unit 103 executes context control processing foridentifying a symbol probability PE for use in the binary arithmeticencoder 104 and update processing for updating the symbol occurrenceprobability PE.

A description is given of context control processing by the contextcontrol unit 103. The context control unit 103 obtains a control signalCTRS which is output from a context block classification control unit105 which is described later, and obtains a table to be used from amongthe context tables in the symbol occurrence probability storage unit102. Furthermore, the context control unit 103 identifies the contextctxIdx corresponding to the condition identified based on the signaltype information SE, with reference to the identified table in thesymbol occurrence probability storage unit 102.

Next, the context control unit 103 obtains an occurrence probabilitypStateIdx corresponding to the index ctxIdx with reference to the signalinformation table. The context control unit 103 identifies a symboloccurrence probability PE for use in the binary arithmetic encoder 104,with reference to the occurrence probability table stored in the symboloccurrence probability storage unit 102, based on the occurrenceprobability pStateIdx. Furthermore, the context control unit 103 causesthe symbol occurrence probability storage unit 102 to output theidentified symbol occurrence probability PE to the binary arithmeticencoder 104.

Next, a description is given of update processing by the context controlunit 103. The update processing by the context control unit 103 isperformed based on the H.264 Standard. More specifically, the contextcontrol unit 103 derives a new symbol occurrence probability PE and asymbol valMPS, based on a binary signal BIN which is input from thebinarization unit 101. The context control unit 103 replaces, with thevalue corresponding to the new symbol occurrence probability PE, thevalue of the occurrence probability pStateIdx corresponding to thecontext ctxIdx identified in the context control processing, in thesignal information table shown in FIG. 4 stored in the symbol occurrenceprobability storage unit 102.

The binary arithmetic encoder 104 generates an output signal OB byperforming arithmetic coding on the binary signal input from thebinarization unit 101, using the symbol occurrence probability PE readout from the symbol occurrence probability storage unit 102 by thecontext control unit 103, and outputs the generated output signal OB.

In Embodiment 1, the context block classification control unit 105determines a table from among the context tables in the symboloccurrence probability storage unit 102 based on the block size signalBLKS and the signal type information SE, generates a control signal CTRSindicating the determined table, and outputs the control signal CTRS tothe context control unit 103.

(Processing Procedure in Embodiment 1)

Next, a description is given of the structure of an arithmetic codingmethod performed by the arithmetic coding unit 100 according toEmbodiment 1.

Here, FIG. 6 is a flowchart indicating a processing procedure in anarithmetic coding method according to the present invention. The imagecoding method according to the present invention is configured toinclude: a current signal to be coded obtaining step of obtaining acurrent signal to be coded of an image (Step S401); a binarization stepof generating a binary signal by binarizing the current signal to becoded (Step S402); a context selecting step of selecting a context forthe current signal to be coded (Step S403); an arithmetic coding step ofperforming arithmetic coding of the binary signal, using codedprobability information associated with the context selected in thecontext selecting step (Step S404); and an update step of updating thecoded probability information associated with the context selected inthe context selecting step, based on the binary signal (Step S405), andto select, in the context selecting step, the context of the currentsignal to be coded such that the context is shared by another signal tobe coded included in a processing unit having a processing unit sizedifferent from the size of a processing unit including the currentsignal to be coded.

FIG. 7 is a flowchart indicating, in more detail, the outline of theprocessing procedure of the arithmetic coding method according toEmbodiment 1. Here, the flowchart in FIG. 7 indicates the arithmeticcoding processing performed on a single input signal (a current signalto be coded). The input signal SI is generated for each of the frequencycomponents of each of the blocks of an image through transform andquantization. Thus, the arithmetic coding of the whole block iscompleted when arithmetic coding of all the frequency components isexecuted. As shown in FIG. 7, when the arithmetic coding is started, thecontext block classification control unit 105 obtains the block size ofthe current signal to be coded, based on a block size signal BLKS (StepS110).

The binarization unit 101 obtains the input signal SI which is a codingtarget and the signal type information SE (the current signal to becoded obtaining step), and performs binarization based on the signaltype information SE on the input signal SI according to the H.264Standard so as to generate a binary signal BIN (Step S120, thebinarization step). Here, the signal type information SE includesinformation indicating a binarization scheme.

Next, the context block classification control unit 105 determineswhether or not to use a shared context for different block sizes, basedon the block size and the signal type information SE obtained in StepS110 (Step S130).

When the context block classification control unit 105 determines to usea dedicated context for a particular block size (No in Step S130), thecontext block classification control unit 105 selects the table in whichthe dedicated context for a particular block size from among the contexttables in the symbol occurrence probability storage unit 102, andoutputs a control signal CTRS indicating the table to the contextcontrol unit 103 (Step S140).

On the other hand, when the context block classification control unit105 determines to use the shared context for different block sizes (Yesin Step S130), the context block classification control unit 105 selectsthe table in which the shared context for different block sizes is setfrom among the context tables in the symbol occurrence probabilitystorage unit 102, and outputs a control signal CTRS indicating the tableto the context control unit 103 (Step S150).

The context control unit 103 determines the context table correspondingto the input signal SI from among the context tables stored in thesymbol occurrence probability storage unit 102, based on the controlsignal CTRS (Step S160).

The context control unit 103 determines a context ctxIdx based on acondition determined based on the signal type information SE, withreference to the selected context table (the processing from Step S130to this point corresponds to the context selecting step, and the contextblock classification control unit 105 and the context control unit 103which execute the steps correspond to the context selection controlunit). Furthermore, the context control unit 103 identifies a symboloccurrence probability PE corresponding to the context ctxIdx, withreference to the signal information table and the occurrence probabilitytable, reads out the identified symbol occurrence probability PE fromthe symbol occurrence probability storage unit 102, and outputs theread-out symbol occurrence probability PE to the binary arithmeticencoder 104.

The binary arithmetic encoder 104 generates an output signal OB byperforming arithmetic coding of the binary signal based on the symboloccurrence probability PE read out by the context control unit 13, andoutputs the generated output signal OB (Step S170, the arithmetic codingstep).

The context control unit 103 executes update processing of updating thesymbol occurrence probability PE based on the binary signal generated bythe binarization unit 101 (Step S180, the update step).

Next, descriptions are given of details (corresponding to Steps S130 toS160) of operations performed by the context block classificationcontrol unit 105, with reference to FIG. 8 to FIG. 11.

Here, each of FIG. 8, FIG. 9, FIG. 10A, and FIG. 10B is a flowchartindicating an example of operations by the context block classificationcontrol unit 105 according to Embodiment 1.

Each of (a) to (c) of FIG. 11 is a schematic diagram showing thepositional relationships of quantized coefficients in a correspondingone of blocks having an 8×8, 16×16, or 32×32 block size.

Operation Example 1

In FIG. 8, the context block classification control unit 105 firstlydetermines the coefficient position based on the signal type informationSE, and determines whether the coefficient position of the input signalSI which is the current signal to be coded is included in the lowfrequency area or in the high frequency area (Step S202).

Here, as described above, the quantized coefficients correspond tosignals generated by performing frequency transform and quantization onthe image, and the coefficient positions correspond to the frequencycomponents in the frequency transform. For example, in the schematicdiagram shown as each of (a) to (c) in FIG. 11, the quantizedcoefficients corresponding to the low frequency components are locatedat the upper left portion, and the quantized coefficients correspondingto the high frequency components are located at the lower right portion.More specifically, in an exemplary case where a coefficient position isone of coefficient positions in a 2×2 block including al least onedirect component, in particular, a case where a coefficient position isone of the positions shown as LFR in the schematic diagram shown as eachof (a) to (c) in FIG. 11, it is determined that the input signal SI is acoefficient corresponding to a low frequency component. In the casewhere the coefficient position is one of the coefficient positions shownas a symbol other than LFR in each of (a) to (c) in FIG. 11, it isdetermined that the input signal SI is a coefficient corresponding to ahigh frequency component.

In the case where the input signal SI is a coefficient corresponding tothe low frequency component (YES in Step S202), the context blockclassification control unit 105 selects a context table in which thecontexts are set based on block sizes, and outputs the information as acontrol signal CTRS. Here, in the context table, indices ctxIdx for thelow frequency components are set further based on the conditionsrespectively determined based on the coefficient positions. Accordingly,as a result, the context control unit 103 sets the context for the inputsignal SI according to the block size and the coefficient position (StepS203).

On the other hand, in the case where the input signal SI is acoefficient corresponding to the high frequency component (NO in StepS202), the context block classification control unit 105 calculates asurrounding condition of the current signal to be coded (Step S204). Themethod for calculating the surrounding condition is described later.

Next, the context block classification control unit 105 determineswhether or not the block size of the current signal to be coded islarger than a predetermined size (Step S205).

In the case where the block size of the input signal SI is smaller than,for example, a 16×16 block size (NO in Step S205), the context blockclassification control unit 105 selects a shared context table for smallblock sizes, and outputs the information as a control signal CTRS. Here,in the context table, indices ctxIdx for the high frequency componentsare set further based on the conditions respectively determined based onthe surrounding conditions. Accordingly, as a result, the contextcontrol unit 103 sets the context for small size blocks, based on thesurrounding condition (Step S206).

In the case where the block size of the input signal SI is larger thanthe predetermined size (YES in Step S205), the context blockclassification control unit 105 selects a shared context table for largeblock sizes, and outputs the information as a control signal CTRS. Here,in the context table, indices ctxIdx for the high frequency componentsare set further based on the conditions respectively determined based onthe surrounding conditions. Accordingly, as a result, the contextcontrol unit 103 sets the context for large size blocks, based on thesurrounding condition (Step S207).

Here, it is possible to further increase the coding efficiency by makingit possible to select 16×16, 32×32, and 64×64 block sizes as frequencytransform sizes, although, in H.264, only the quantized coefficients inblocks each having a 4×4 or 8×8 block size are defined. However, whenthe number of selectable block sizes is increased, too fine contexts areset for the respective block sizes. Thus, the use frequency of each ofthe contexts is significantly decreased. For this reason, a sharedcontext is used for input signals having the same statistical propertieseven when the block sizes are different according to the aforementionedmethod. More specifically, in Operation Example 1, a context is sharedbetween large blocks having a large block size and another context isshared between small blocks having a small block size such that, forexample, the context for small blocks is used for blocks each having a4×4 or 8×8 block size, and the context for large blocks is used forblocks each having a 16×16, 32×32, or 64×64 block size. This makes itpossible to perform arithmetic coding of the image using the statisticalproperties adapted to the features of the image, and concurrently, toincrease the use frequency of each of the contexts and to therebyincrease the coding efficiency. In the above example, it is possible, toselect a 4×4, 8×8, 16×16, 32×32, and 64×64 block sizes as sizes infrequency transform. However, the selectable sizes are not limitedthereto. Such selectable sizes can be arbitrarily set, for example, a4×4, 8×8, 16×16, and 32×32 block sizes can be set.

Operation Example 2

In FIG. 9, the context block classification control unit 105 firstlydetermines, based on the signal type information SE, a coefficientposition of an input signal SI which is the current signal to be coded,and determines whether the input signal SI is included in the lowfrequency area or in the high frequency area (Step S202). Here, thedetermination method is the same as in Operation Example 1.

In the case where the input signal SI is a coefficient corresponding toa low frequency component (YES in Step S202), the context blockclassification control unit 105 selects a context table set for theblock size, and outputs the information as a control signal CTRS. Here,in the context table, indices ctxIdx for the low frequency componentsare set further based on the conditions respectively determined based onthe coefficient positions. Accordingly, as a result, the context controlunit 103 sets the context according to the block size and thecoefficient position (Step S203).

On the other hand, in the case where the input signal SI is acoefficient corresponding to the high frequency component (NO in StepS202), the context block classification control unit 105 calculates asurrounding condition of the current signal to be coded (Step S204). Themethod for calculating the surrounding condition is described later.

Next, the context block classification control unit 105 determineswhether or not the block size of the current signal to be coded islarger than a predetermines size (Step S205).

In the case where the block size of the input signal SI is smaller than,for example, a 16×16 block size (NO in Step S205), the context blockclassification control unit 105 selects a context table for the blocksize, and outputs the information as a control signal CTRS. In otherwords, a context table for a block having a 4×4 block size and a contexttable for a block having an 8×8 block size are separately selected.Accordingly, the context control unit 103 sets the different contextsfor the respective block sizes and conditions (Step S216). In the casewhere the block size is small, the input images SI may have differentimage features such as detailed image contents. Thus, it is possible toexecute arithmetic coding more suitably adapted to the features of theimage by performing a variation example as shown in FIG. 9.

In the case where the block size of the input signal SI is larger thanthe predetermined size (YES in Step S205), the context blockclassification control unit 105 selects a shared context table for largeblock sizes, and outputs the information as a control signal CTRS. Inother words, a shared context table for blocks each having a 16×16,32×32, or 64×64 block size is determined as the context to be used.Here, in the context table, indices ctxIdx for the high frequencycomponents are set further based on the conditions respectivelydetermined based on the surrounding conditions. Accordingly, as aresult, the context control unit 103 sets the context for large sizeblocks, based on the surrounding condition (Step S207).

In the above example, it is possible, to select a 4×4, 8×8, 16×16,32×32, and 64×64 block sizes as sizes in frequency transform. However,the selectable sizes are not limited thereto. Such selectable sizes canbe arbitrarily set, for example, a 4×4, 8×8, 16×16, and 32×32 blocksizes can be set.

Operation Example 3

FIG. 10A is a flowchart obtained by switching Step S202 and Step S205 inFIG. 9. FIG. 10A and FIG. 9 shows substantially the same operations.

In FIG. 10A, the context block classification control unit 105 firstlydetermines whether or not the block size of the input signal SI which isa current signal to be coded is larger than a predetermined size(corresponding to Step S222 and S205 in FIG. 9). The following describesan assumed case where the predetermined size is the 8×8 block size.

In the case where the block size of the input signal SI is smaller thanthe predetermined size (NO in Step S222), the context blockclassification control unit 105 selects a context table for the blocksize, and outputs the information as a control signal CTRS. As describedin the Outline of Embodiment 1, Embodiment 1 assumes a case where nocontext sharing is performed for the input signals SI included in ablock having a small block size and different contexts are set for theinput signals SI based on the respective block sizes and conditions. Inother words, the contexts for the small blocks are determinedsubstantially based on the respective block sizes and the respectivecoefficient positions. Accordingly, as a result, the context controlunit 103 sets different contexts for the respective block sizes andcoefficient positions (Step S223).

On the other hand, in the case where the block size of the input signalSI is larger than the predetermined size (YES in Step S222), the contextblock classification control unit 105 calculates a surrounding conditionfor the current signal to be coded (Step S224). The method forcalculating the surrounding condition is described later.

Next, the context block classification control unit 105 determineswhether the input signal SI is a quantized coefficient corresponding toa low frequency component or a quantized coefficient corresponding to ahigh frequency component (corresponding to Step S225, and Step S202 inFIG. 9).

In the case where the input signal SI is a signal corresponding to thelow frequency component (YES in Step S225), the context blockclassification control unit 105 selects a context table in which thecontext for the block size is set, and outputs the information as acontrol signal CTRS. Here, in the context table, indices ctxIdx for thelow frequency components are set further based on the conditionsrespectively determined based on the coefficient positions. Accordingly,as a result, the context control unit 103 sets contexts according to thecoefficient positions and block sizes (Step S226).

In the case where the input signal SI is a signal corresponding to ahigh frequency component (No in Step S225), the context blockclassification control unit 105 selects a shared context table for largeblock sizes, and outputs the information as a control signal CTRS. Here,in the context table, indices ctxIdx for the high frequency componentsare set for the conditions respectively determined based on thesurrounding conditions. Accordingly, as a result, the context controlunit 103 sets the context for large size blocks, based on thesurrounding condition (Step S227).

In the above example, it is possible, to select a 4×4, 8×8, 16×16,32×32, and 64×64 block sizes as sizes in frequency transform. However,the selectable sizes are not limited thereto. Such selectable sizes canbe arbitrarily set, for example, 4×4, 8×8, 16×16, and 32×32 block sizescan be set.

Operation Example 4

FIG. 10B is a flowchart in the case where a shared context is used forinput signals SI each corresponding to a large block size irrespectiveof whether each of the input signals SI is a low frequency component ora high frequency component.

In FIG. 10B, the context block classification control unit 105 firstlydetermines whether or not the block size of the input signal SI which isa current signal to be coded is larger than a predetermined size(corresponding to Step S222 and S205 in FIG. 9). The following describesan assumed case where the predetermined size is the 8×8 block size.

In the case where the block size of the input signal SI is smaller thanthe predetermined size (NO in Step S222), the context blockclassification control unit 105 selects a context table in which thecontext for the block size is set, and outputs the information as acontrol signal CTRS. Here, as with Operation Example 3, OperationExample 4 assumes a case where no context sharing is performed for theinput signals SI included in a block having a small block size, andcontexts are set for the respective block sizes and conditions. In otherwords, the contexts for the small blocks are determined substantiallybased on the respective block sizes and the respective coefficientpositions. Accordingly, the context control unit 103 sets differentcontexts for the respective block sizes and coefficient positions (StepS233).

In the case where the block size of the input signal SI is larger thanthe predetermined size (YES in Step S222), the context blockclassification control unit 105 selects a shared context table for largeblock sizes, and outputs the information as a control signal CTRS. Here,in the context table, indices ctxIdx for the low frequency componentsare set further based on the conditions respectively determined based onthe coefficient positions, and indices ctxIdx for the high frequencycomponents are set further based on the conditions respectivelydetermined based on the surrounding conditions. Accordingly, as aresult, the context control unit 103 sets the context for large sizeblocks, based on the coefficient position and the surrounding condition(Step S234).

In Operation Example 4, as mentioned above, context sharing is performedonly for large block sizes (in Embodiment 4, the large block sizes are,for example, a 16×16, 32×32, 64×64 block sizes etc. which are largerthan the 8×8 block size). In other words, different contexts areselected for the respective small block sizes. In this way, it ispossible to select a context adapted to the features of the image, foreach of the small blocks each having a comparatively large change.Furthermore, it is possible to increase the update frequency of thesymbol occurrence probability by performing context sharing for largeblocks each having a comparatively small change, and to thereby increasethe coding efficiency.

In the above example, it is possible, to select a 4×4, 8×8, 16×16,32×32, and 64×64 block sizes as sizes in frequency transform. However,the selectable sizes are not limited thereto. Such selectable sizes canbe arbitrarily set, for example, a 4×4, 8×8, 16×16, and 32×32 blocksizes can be set.

(Calculation of Surrounding Conditions)

A detailed description is given based on FIG. 11. In each of (a) to (c)of FIG. 11, the upper left 4×4 area LFR is a low frequency areacorresponding to a signal of a low frequency component. In each of theabove-described Operation Examples 1 to 3, a context table for the blocksize is selected. In the context table selected here, the indices ctxIdxindicating contexts are set for conditions determined based oncoefficient positions, and a context is determined according to theblock size and coefficient position.

On the other hand, the area other than the area LFR is a high frequencyarea corresponding to a signal of a high frequency component. Here, thehigh frequency area is further segmented into a partial area TOPcorresponding to the upper end portion (the portion enclosed by diagonallines from the upper right to the lower left), a partial area LEFTcorresponding to the left end portion (the portion enclosed by diagonallines from the upper left to the lower right), and a partial area HFRcorresponding to the remaining area (the portion enclosed by crossingdiagonal lines).

The surrounding conditions are calculated for the respective threepartial areas.

First, a description is given of calculating the surrounding conditionof the partial area TOP. In the partial area TOP, the surroundingcondition corresponding to the coefficient position shown as X in (d) ofFIG. 11 is determined based on the number of quantized coefficients ofnon-zero coefficients among the quantized coefficients at the adjacentcoefficient positions a to d. In this case, the values of thesurrounding conditions are five kinds ranging from 0 to 4. Here,contexts may be set separately for the respective five kinds ofsurrounding conditions. For example, it is possible to performclassification into three groups of (0), (1, 2), and (3, 4) and to setthree contexts for the respective groups. In the classification, anothercombination may be used, and an arbitrary number of group may begenerated.

Next, a description is given of calculating the surrounding condition ofthe partial area LEFT. In the partial area LEFT, the surroundingcondition corresponding to the coefficient position shown as X in (e) ofFIG. 11 is determined based on the number of quantized coefficients ofnon-zero coefficients among the quantized coefficients at the adjacentcoefficient positions e to f. In this case, the values of thesurrounding conditions are five types ranging from 0 to 4. As in thecase of the partial area TOP, contexts may be set separately for therespective five kinds of surrounding conditions. For example, it ispossible to perform classification into three groups of (0), (1, 2), and(3, 4) and to set three contexts for the respective groups. In theclassification, another combination may be used, and an arbitrary numberof group may be generated.

Next, a description is given of calculating the surrounding condition ofthe partial area HFR. In the partial area HFR, the surrounding conditioncorresponding to the coefficient position shown as X in (f) of FIG. 11is determined based on the number of quantized coefficients of non-zerocoefficients among the quantized coefficients at the adjacentcoefficient positions i to s.

In this case, the values of the surrounding conditions are twelve typesranging from 0 to 11. As in the case of the partial area TOP and thepartial area LEFT, contexts may be set separately for the respectivetwelve kinds of surrounding conditions. For example, it is possible toperform classification into five groups of (0), (1, 2), (3, 4), (5, 6),and (7, 8, 9, 10, 11) and to set five contexts for the respectivegroups. In the classification, another combination may be used, and anarbitrary number of group may be generated.

The surrounding conditions calculated according to the aforementionedmethod are represented, in common, as the numbers of non-zerocoefficients located at the positions of the adjacent coefficients.Thus, it is possible to accurately obtain the statistical informationwithout depending on the block sizes even when the block sizes aredifferent. For this reason, it is possible to perform sharing ofcontexts irrespective of the block sizes, and to increase the codingefficiency by using the small number of contexts.

It is to be noted that the information indicating the combination ofcontexts may be recorded in the starting portion (stream header) in abitstream. In this way, it is possible to change the combination ofcontexts according to the features of an image, and to thereby expect afurther increase in the coding efficiency.

In addition, the information indicating whether or not the same contextis used for blocks having different block sizes may be recorded in thestarting portion (stream header) of a bitstream. In this way, it ispossible to change the combination of contexts according to the featuresof an image, and to thereby expect a further increase in the codingefficiency.

It is to be noted that the unit of recording in the header may be a unitcorresponding to a slice or a picture. In this case, it is possible toperform finer control than the control in the case of recording theinformation in units of a stream, and to thereby expect a furtherincrease in the coding efficiency.

(Variation Example of Context Block Classification Control Unit)

Embodiment 1 describes a case of setting different contexts for inputsignals SI of low frequency components corresponding to a small blocksize and a large block size and setting a shared context for inputsignals SI of high frequency components corresponding to a large blocksize. However, in the case of large block sizes, it is also good tosegment an image into sub blocks (having a small block size) having thesame size (corresponding to the segmenting step), and to set a contexttable for small block sizes which is for each of the sub blocks. Inother words, the context is shared by the sub block and blocks havingthe same small block size as that of the sub block.

More specifically, for example, a block having a 16×16 large block sizeis segmented into sixteen 4×4 sub blocks, and the context which is usedfor the blocks having a 4×4 small block size is applied to arithmeticcoding for the respective sub blocks.

In this case, the binarization unit 101 generates a binary signal byexecuting binarization on each of the sub blocks. The binary arithmeticencoder 104 performs arithmetic coding of the binary signal of each ofthe sub blocks.

With this structure, it is possible to use the context table for smallblock sizes also for the large block sizes. As a result, it is possibleto perform context sharing between the large block sizes and the smallblock sizes.

(Overall Structure of Image Coding Apparatus)

The arithmetic coding unit 100 according to Embodiment 1 is included inan image coding apparatus which compression codes the image.

The image coding apparatus 200 compression codes the image. For example,the image coding apparatus 200 receives, as input signals, the image inunits of a block. The image coding apparatus 200 generates a codedsignal by performing a transform and quantization on and a variablelength coding of each of the input signals.

Here, FIG. 12 is a block diagram showing an example of the structure ofthe arithmetic coding apparatus 200 including the arithmetic coding unit100 according to Embodiment 1. As shown in FIG. 12, the image codingapparatus 200 includes: a subtractor 205; a transform and quantizationunit 210; an entropy coding unit 220 (corresponding to the arithmeticcoding unit 100 in FIG. 3); an inverse quantization and inversetransform unit 230; an adder 235; a deblocking filter 240; a memory 250;an intra prediction unit 260; a motion estimation unit 270; a motioncompensation unit 280; and an intra/inter switch 290.

The image coding apparatus 200 receives, as the input signals, the imagein units of a block.

The subtractor 205 calculates a difference, specifically a predictionerror between each of the input signals and a corresponding one ofprediction signals.

The transform and quantization unit 210 generates transform coefficientsin a frequency area by transforming the prediction error in a spatialdomain. For example, the transform and quantization unit 210 generatestransform coefficients by performing a Discrete Cosine Transform (DCT)on the prediction error. Furthermore, the transform and quantizationunit 210 generates transform coefficients by quantizing the transformcoefficients (this process corresponds to the frequency transform step).

The entropy coding unit 220 is configured with the arithmetic codingunit 100 shown in FIG. 3, and generates the coded signal by performing avariable length coding of each of the quantized coefficients. Inaddition, the entropy coding unit 220 codes motion data (for example, amotion vector) estimated by the motion estimation unit 270, adds themotion data into the coded signal, and outputs the coded signal. Morespecifically, the arithmetic coding unit 100 which constitutes theentropy coding unit 220 receives each of the quantized coefficients asthe input signal SI, and performs binarization and arithmetic coding ofthe quantized coefficient. In addition, the signal type information SEis information indicating the motion data shown in FIG. 12, intraprediction direction and/or the like used by the intra prediction unit260 which is described later, in addition to the coefficient position ofthe quantized coefficient.

The inverse quantization and inverse transform unit 230 reconstructseach of the transform coefficients by performing inverse quantization ofthe quantized coefficient output by the transform and quantization unit210. Furthermore, the inverse quantization and inverse transform unit230 reconstructs a prediction error by performing an inverse transformon the reconstructed transform coefficient. Here, the reconstructedprediction error has suffered from a partial loss of information throughquantization, and thus does not completely match the prediction errorgenerated by the subtractor 205. In other words, the reconstructedprediction errors include a quantization error.

The adder 235 generates local decoded images by adding each of thereconstructed prediction errors and a corresponding one of theprediction signals.

The deblocking filter 240 performs deblocking filtering on each of thegenerated local decoded images.

The memory 250 is a memory for storing reference images for use inmotion compensation. More specifically, the memory 250 stores localdecoded images subjected to the deblocking filtering.

The intra prediction unit 260 generates prediction signals (intraprediction signals) by performing intra predictions. More specifically,the intra prediction unit 260 generates an intra prediction signal byperforming an intra prediction with reference to the images surroundinga current block to be decoded (input signal) in the local decoded imagegenerated by the adder 235.

The motion estimation unit 270 estimates the motion data (for example,the motion vector) between each of the input signals and the referenceimage thereof stored in the memory 250.

The motion compensation unit 280 generates a prediction signal (an interprediction signal) by performing motion compensation based on theestimated motion data.

The intra/inter switch 290 selects one of the intra prediction signaland the inter prediction signal, and outputs the selected signal as theprediction signal to the subtractor 205 and the adder 235.

With this structure, the image coding apparatus 200 according toEmbodiment 1 compression codes the image.

The arithmetic coding unit 100 and the processing performed thereby inthe image coding apparatus and the image coding method according toEmbodiment 1 are configured to apply the same context to an image havingthe same statistical properties even when the block sizes are different.Thus, the number of contexts is reduced, which makes it possible toreduce the size of memory. Furthermore, generally, large block sizes of16×16 or larger are less likely to occur than small block sizes such as4×4, 8×8, and the like. For this reason, it is possible to increase theaccuracy for the classifications with a low accuracy in the symboloccurrence probability PE by performing context sharing for the largeblock sizes which are less likely to occur. In other words, it ispossible to reflect the statistical information more appropriately tothe symbol occurrence probabilities PE as a whole. Therefore, it ispossible to increase the coding efficiency.

Embodiment 2

Embodiment 2 of an image decoding method and an image decoding apparatusaccording to the present invention are described with reference to FIG.13 to FIG. 16.

The image decoding method according to the present invention relatesparticularly to an arithmetic decoding method as an example of anentropy decoding, in decoding composed of variable length decoding (suchas entropy decoding), inverse quantization and inverse transform,prediction, and the like on a current signal to be decoded of a codedimage. In addition, the image decoding apparatus according to thepresent invention is configured to include an arithmetic decoding unit(entropy decoding unit) which executes the aforementioned arithmeticdecoding method, a transform and quantization unit, and a predictionunit. The overall structure of the image decoding apparatus is describedlater.

(Outline of Embodiment 2)

The outline of an arithmetic decoding method and an arithmetic decodingunit according to Embodiment 2 is firstly described. Here, as inEmbodiment 1, a description is given of a case where a signal indicatingwhether a current one of the quantized coefficients of frequencycomponents generated through transform and quantization is a zerocoefficient or a non-zero coefficient is input as an input stream IS tothe arithmetic decoding unit.

As described in Embodiment 1, in Embodiment 2, (i) in the case of theinput streams IS of high frequency components in large blocks eachhaving a large block size, the context which is set for the samecondition is partly or fully shared between the large blocks which havethe same statistical properties even when the block sizes are different,and (ii) in the case of the input stream IS of low frequency componentsin the block having a large block size and the input stream IS of lowfrequency components in the block having a small block size, contextsare set for the respective block sizes and conditions without contextsharing between the blocks even when the conditions are the same.

In this way, it is possible to appropriately decode the coded imagecoded more efficiently than the coded image in Embodiment 1.

In the case where, in Embodiment 1, a shared context is used for inputstreams IS each corresponding to a large block size irrespective ofwhether each of the input streams IS corresponds to a low frequencycomponent or a high frequency component, the image decoding method andthe image decoding apparatus in Embodiment 2 may use the shared contextfor the input streams IS corresponding to the large block size. Themethod of selecting targets for context sharing is preferably setaccording to the selection method in the image coding method and theimage coding apparatus in Embodiment 1.

(Structure of Arithmetic Decoding Unit in Embodiment 2)

Next, a description is given of the structure of the arithmetic decodingunit which performs the arithmetic decoding method according toEmbodiment 2.

Here, FIG. 13 is a block diagram showing an example of the structure ofthe arithmetic decoding unit 300 according to Embodiment 2.

As shown in FIG. 13, the arithmetic decoding unit 300 includes a binaryarithmetic decoder 301, a symbol occurrence probability storage unit302, a context control unit 303, a multi-value conversion unit 304, anda context block classification control unit 305.

The arithmetic decoding unit 300 reconstructs the coded image byexecuting an arithmetic decoding of the input stream IS which is acurrent signal to be decoded of the coded image, and outputs thereconstructed coded image. In Embodiment 2, the arithmetic decoding unit300 receives, as inputs, the input stream IS, signal type information SEindicating the type of the input stream IS, and a block size signal BLKSindicating the block size of the input signal SI.

The input stream IS in Embodiment 2 is assumed to be a signal OB whichis output from the arithmetic coding unit 100 in Embodiment 1.

In addition, the signal type information SE is information indicatingthe properties of the input stream IS which is the current signal to bedecoded of the coded image. More specifically, the signal typeinformation in Embodiment 2 is the same as the signal type informationSE according to Embodiment 1. Here, a description is given assuming acase where the signal type information SE indicates coefficientpositions and surrounding conditions. The signal type information SE maybe motion data or information indicating an intra prediction directionor the like which is used by the intra prediction unit 450 of the imagedecoding apparatus 400 shown in FIG. 16 described later.

As in Embodiment 1, Embodiment 2 is configured to receive block sizesignals BLKS assuming that contexts are set suitably for block sizes.However, it is possible to configure an embodiment which does not usesuch block size signals BLKS in the case of setting contexts accordingto other features of the image.

The binary arithmetic decoder 301 generates a binary signal OBIN byperforming arithmetic decoding of the input stream IS by using symboloccurrence probability PE which is decoded probability information readout from the symbol occurrence probability storage unit 302 by thecontext control unit 303 described later.

The symbol occurrence probability storage unit 302 is a storage unitconfigured with a non-volatile memory or the like, and stores a signalinformation table and a plurality of context tables.

The symbol occurrence probability storage unit 102 further stores anoccurrence probability table (not shown) indicating a value of one ofthe symbol occurrence probabilities PE which corresponds to theprobability information pStateIdx.

The signal information table is the same as a conventional signalinformation table shown in FIG. 4, and stores indices ctxIdx, occurrenceprobabilities pStateIdx, and symbols valMPS in an associated manner.Here, as in Embodiment 1, it is also good to use, as the signalinformation table, a table in which contexts ctxIdx and the values ofthe symbol occurrence probabilities PE are directly associated one toone with each other.

As in Embodiment 1, the context table is composed of a plurality oftables in which contexts ctxIds are set according to conditions. Thedetails of the context table is the same as in Embodiment 1.

The context control unit 303 executes context control processing foridentifying a symbol probability PE for use in the binary arithmeticdecoder 301 and updates processing for updating the symbol occurrenceprobabilities PE in the symbol occurrence probability storage unit 302.

A description is given of context control processing by the contextcontrol unit 303. The context control unit 303 obtains a control signalCTRS which is output from a context block classification control unit305 which is described later, and obtains a table to be used from amongthe context tables in the symbol occurrence probability storage unit302. Furthermore, the context control unit 303 identifies the contextctxIdx corresponding to the condition identified based on the signaltype information SE, with reference to the identified table in thesymbol occurrence probability storage unit 302.

Next, the context control unit 303 obtains an occurrence probabilitypStateIdx corresponding to the index ctxIdx with reference to the signalinformation table. The context control unit 303 identifies a symboloccurrence probability PE for use in the binary arithmetic decoder 301,with reference to the occurrence probability table stored in the symboloccurrence probability storage unit 302, based on the occurrenceprobability pStateIdx. Furthermore, the context control unit 303 causesthe symbol occurrence probability storage unit 302 to output theidentified symbol occurrence probability PE to the binary arithmeticdecoder 301.

Next, a description is given of update processing by context controlunit 303. The update processing by the context control unit 303 isperformed based on the H.264 Standard. More specifically, the contextcontrol unit 303 derives a new symbol occurrence probability PE and asymbol valMPS based on the input stream IS. The context control unit 303replaces, with the value corresponding to the new symbol occurrenceprobability PE, the value of the occurrence probability pStateIdxcorresponding to the context ctxIdx identified in the context controlprocessing, in the signal information table stored in the symboloccurrence probability storage unit 302.

The multi-value conversion unit 304 reconstructs the image by performingmulti-value conversion on the binary signal OBIN generated by the binaryarithmetic decoder 301. The multi-value conversion scheme is determinedbased on the signal type information SE.

As in Embodiment 1, in Embodiment 2, the context block classificationcontrol unit 305 determines a table from among the context tables in thesymbol occurrence probability storage unit 302 based on the block sizesignal BLKS and the signal type information SE, generates a controlsignal CTRS indicating the determined table, and outputs the controlsignal CTRS to the context control unit 103.

(Processing Procedure in Embodiment 2)

Next, a description is given of the structure of an arithmetic decodingmethod performed by the arithmetic decoding unit 300 according toEmbodiment 2.

Here, FIG. 14 is a flowchart indicating a processing procedure in anarithmetic decoding method according to the present invention. The imagedecoding method according to the present invention is configured toinclude: a current signal to be decoded obtaining step of obtaining acurrent signal to be decoded of a coded image (Step S501); a contextselecting step of selecting a context of the current signal to bedecoded from among a plurality of contexts (Step S502); an arithmeticdecoding step of generating a binary signal by performing an arithmeticdecoding of the current signal to be decoded by using decodedprobability information associated with the context selected in thecontext selecting step (Step S503), a multi-value conversion step ofreconstructing an image by performing multi-value conversion on thebinary signal (Step S504); and an update step of updating the decodedprobability information associated with the context selected in thecontext selecting step (Step S505), and to select, in the contextselecting step, a context for the current signal to be decoded also as acontext for another signal to be decoded included in a processing unithaving a size different from the size of the processing unit includingthe current signal to be decoded.

FIG. 15 is a flowchart indicating, in more detail, the outline of theprocessing procedure of the arithmetic decoding method according toEmbodiment 2. The flowchart in FIG. 15 shows an arithmetic decoding of asignal input stream SI (a current signal to be decoded).

As shown in FIG. 15, when the arithmetic decoding is started, thecontext block classification control unit 305 obtains the block size ofthe current signal to be decoded, based on the block size signal BLKS(Step S301).

Next, the context block classification control unit 305 determineswhether or not to use a shared context for different blocks sizes, basedon the block size and the signal type information SE obtained in StepS301 (Step S302).

When the context block classification control unit 305 determines to usethe context for the block size (NO in Step S302), the context blockclassification control unit 305 selects the table in which the contextfor the block size is set, and outputs a control signal CTRS indicatingthe table to the context control unit 303 (Step S303).

On the other hand, when the context block classification control unit305 determines to use the shared context for the block size (YES in StepS302), the context block classification control unit 305 selects thetable in which the shared context for the block size is set from amongthe context tables in the symbol occurrence probability storage unit102, and outputs a control signal CTRS indicating the table to thecontext control unit 303 (Step S304).

The detailed operations by the context block classification control unit305 are the same as in Operation Examples 1 to 3 in Embodiment 1.

The context control unit 303 determines the context table correspondingto the input stream IS from among the context tables stored in thesymbol occurrence probability storage unit 302, based on the controlsignal CTRS (Step S305).

The context control unit 303 determines a context ctxIdx based on acondition determined based on the signal type information SE, withreference to the selected context table (the processing from Step S302to this point corresponds to the context selecting step, and the contextblock classification control unit 305 and the context control unit 303which execute the steps correspond to the context selection controlunit). Furthermore, the context control unit 303 identifies a symboloccurrence probability PE corresponding to the context ctxIdx, withreference to the signal information table and the occurrence probabilitytable, reads out the identified symbol occurrence probability PE fromthe symbol occurrence probability storage unit 302, and outputs theread-out symbol occurrence probability PE to the binary arithmeticdecoder 301.

The binary arithmetic decoder 301 obtains the current signal to bedecoded of the input stream IS (the current signal to be decodedobtaining step), and obtains the symbol occurrence probability PE(decoded probability information) identified by the context control unit303. The binary arithmetic decoder 301 generates a binary output signalOBIN by executing an arithmetic decoding of the current signal to bedecoded by using the obtained symbol occurrence probability PE (decodedprobability information) according to the H.264 Standard (Step S306, thearithmetic decoding step).

The context control unit 303 executes update processing of updating thesymbol occurrence probability PE based on the binary signal OBINgenerated by the binary arithmetic decoder 301 (Step S307, the updatestep). The execution procedure in the update processing is the same asin the update processing according to Embodiment 1.

The multi-value conversion unit 304 reconstructs the image by performinga multi-value conversion on the binary signal OBIN (Step S308, themulti-value conversion step).

(Variation Example of Context Block Classification Control Unit)

For example, in the case where the arithmetic coding method and thearithmetic coding apparatus according to Embodiment 1 is configured tosegment a block having a large block size into sub blocks (having asmall block size) having the same size and to use a context for smallblock sizes which is for each of the sub blocks, it is preferable thatthe arithmetic decoding method and the arithmetic decoding apparatusaccording to Embodiment 2 be configured to segment a block having alarge block size into sub blocks (having a small block size) having thesame size and to use a context for small block sizes which is for eachof the sub blocks.

More specifically, for example, in the case where the arithmetic codingapparatus segments a block having a 16×16 large block size into subblocks having a 4×4 small block size and executes arithmetic coding ofeach of the sub blocks, the context which is used for the blocks havingthe 4×4 small block size is applied to arithmetic decoding of each ofthe sub blocks.

In this case, the arithmetic decoding unit 300 executes the arithmeticdecoding of each of the sub block to reconstruct the sub blocks havingthe large block size, and outputs the reconstructed sub blocks to theinverse quantization and inverse transform unit 420.

With this structure, it is possible to use the context table for smallblock sizes also for the large block size. As a result, it is possibleto perform context sharing between the large block having the largeblock size and the small blocks having the small block size.

(Overall Structure of Image Decoding Apparatus)

The arithmetic decoding unit 300 according to Embodiment 2 is includedin an image decoding apparatus which decodes compression-coded image.

The image decoding apparatus 400 decodes the compression-coded image.For example, the image decoding apparatus 400 receives, as signals to bedecoded, the coed image in units of a block. The image decodingapparatus 400 reconstructs the image by performing variable lengthdecoding, and inverse quantization and inverse transform on the inputsignals to be decoded.

Here, FIG. 16 is a block diagram showing an example of the structure ofthe arithmetic decoding unit 400 according to Embodiment 2 of thepresent invention. As shown in FIG. 16, the image decoding apparatus 400includes: an entropy decoding unit 410, an inverse quantization andinverse transform unit 420, an adder 425, a deblocking filter 430, amemory 440, an intra prediction unit 450, a motion compensation unit460, and an intra/inter switch 470.

The image decoding apparatus 400 receives the coed image in units of ablock as an input signal (an input stream IS).

The entropy decoding unit 410 is configured with the arithmetic decodingunit 300 shown in FIG. 13 and reconstructs quantized coefficients byperforming variable length decoding which involves arithmetic decodingand multi-value conversion of the input signals (input streams IS).Here, the input signals (input streams IS) are signals to be coded, andcorrespond to data in units of a block of the coded image. In addition,the entropy decoding unit 410 obtains motion data from each of the inputsignals, and outputs the obtained motion data to the motion compensationunit 460.

The inverse quantization and inverse transform unit 420 reconstructs thetransform coefficients by performing inverse quantization on thequantized coefficients reconstructed by the entropy decoding unit 410.Furthermore, the inverse quantization and inverse transform unit 420reconstructs the prediction errors by performing inverse transform onthe reconstructed transform coefficients, and outputs the reconstructedprediction errors to the adder 425.

The adder 425 generates a decoded image by adding the prediction errorreconstructed by the inverse quantization and inverse transform unit 420and a prediction signal which is described later, and outputs thegenerated decoded image to the deblocking filter 430 and the intraprediction unit 450.

The deblocking filter 430 performs deblocking filtering on the decodedimage generated by the adder 425. The decoded image subjected to thedeblocking filtering is output as a decoded signal.

The memory 440 is a memory for storing reference images for use inmotion compensation. More specifically, the memory 440 stores decodedimages subjected to the deblocking filtering.

The intra prediction unit 450 generates a prediction signal (an intraprediction signal) by performing an intra prediction. More specifically,the intra prediction unit 450 generates an intra prediction signal byperforming an intra prediction with reference to the images surroundinga current block to be decoded (an input signal) in the decoded imagegenerated by the adder 425.

The motion compensation unit 460 generates a prediction signal (an interprediction signal) by performing motion compensation based on the motiondata output from the entropy decoding unit 410.

The intra/inter switch 470 selects one of the intra prediction signaland the inter prediction signal, and outputs the selected signal as theprediction signal to the adder 425.

With this structure, the image decoding apparatus 400 according toEmbodiment 2 decodes the compression coded image.

It is to be noted that Embodiment 1 may be configured to recordinformation indicating whether or not a shared context is used forblocks having different block sizes in a starting portion (a streamheader) of a bitstresam of the output signal OB, and that Embodiment 2may be configured such that the entropy decoding unit 410 obtains theinformation as signal type information SE, and determines whether to usea context table for a block size or to use a shared context table. Theunit of recording into the stream header can be decoded even when theunit corresponds to a slice or a picture.

As described above, as with the arithmetic coding unit 100 in Embodiment1, the image decoding apparatus and the image decoding method accordingto Embodiment 2 are configured to apply the same context for imagehaving the same statistical properties even when the block sizes aredifferent, and thus to decode the coded image in Embodiment 1 moreappropriately and accurately. Accordingly, the image decoding apparatusand the image decoding method according to Embodiment 2 of the presentinvention also make it possible to reduce the number of contexts,increase the update frequency of each of symbol occurrence probabilitiesPE having a low occurrence probability so as to increase the accuracy ofthe symbol occurrence probability PE, and to thereby increase the codingefficiency.

In addition, it is also preferable that an image coding and decodingapparatus is configured to include the image coding apparatus accordingto Embodiment 1 and the image decoding apparatus according to Embodiment2.

Embodiment 3

The moving picture coding method (image coding method) or moving picturedecoding method (image decoding method) described in any one of theembodiments can be simply implemented in an independent computer system,by recording, onto a recording medium, a program for implementing theconfigurations of the moving picture coding method and the movingpicture decoding method described in any one of the embodiments. Therecording media may be any recording media as long as the program can berecorded, such as a magnetic disk, an optical disk, a magnetic opticaldisk, an IC card, and a semiconductor memory.

Hereinafter, applications to the moving picture coding method and themoving picture decoding method described in any one of the embodimentsand systems using thereof will be described. Each of the systems ischaracterized by including an image coding and decoding apparatuscomposed of an image coding apparatus which performs an image codingmethod and an image decoding apparatus which performs an image decodingapparatus. The other structural elements in the system can beappropriately modified adapted to cases.

FIG. 17 illustrates an overall structure of a content providing systemex100 for implementing content distribution services. The area forproviding communication services is divided into cells of desired size,and base stations ex106, ex107, ex108, ex109, and ex110 which are fixedwireless stations are placed in each of the cells.

The content providing system ex100 is connected to devices, such as acomputer ex111, a personal digital assistant (PDA) ex112, a cameraex113, a mobile phone ex114 and a gaming machine ex115, via the Internetex101, an Internet service provider ex102, a telephone network ex104, aswell as the base stations ex106 to ex110.

However, the configuration of the content providing system ex100 is notlimited to the configuration shown in FIG. 17, and a combination inwhich any of the elements are connected is acceptable. In addition, eachdevice may be directly connected to the telephone network ex104, ratherthan via the base stations ex106 to ex110 which are the fixed wirelessstations. Furthermore, the devices may be interconnected to each othervia a short distance wireless communication and others.

The camera ex113, such as a digital video camera, is capable ofcapturing videos. A camera ex116, such as a digital video camera, iscapable of capturing both still images and videos. Furthermore, themobile phone ex114 may be the one that meets any of the standards suchas Global System for Mobile Communications (GSM), Code Division MultipleAccess (CDMA), Wideband-Code Division Multiple Access (W-CDMA), LongTerm Evolution (LTE), and High Speed Packet Access (HSPA).Alternatively, the mobile phone ex114 may be a Personal HandyphoneSystem (PHS).

In the content providing system ex100, a streaming server ex103 isconnected to the camera ex113 and others via the telephone network ex104and the base station ex109, which enables distribution of images of alive show and others. In such a distribution, a content (for example,video of a music live show) captured by the user using the camera ex113is coded (that is, as if the content were coded in the image codingapparatus according to the present invention) as described above in anyone of the embodiments, and the coded content is transmitted to thestreaming server ex103. On the other hand, the streaming server ex103carries out stream distribution of the transmitted content data to theclients upon their requests. The clients include the computer ex111, thePDA ex112, the camera ex113, the mobile phone ex114, and the gamingmachine ex115 that are capable of decoding the above-mentioned codeddata. Upon receiving the distributed data, each of the apparatusesdecodes the received data and reproduces the decoded data (that is, asif the content were coded in the image coding apparatus according to thepresent invention).

The captured data may be coded by the camera ex113 or the streamingserver ex103 that transmits the data, or the coding processes may beshared between the camera ex113 and the streaming server ex103.Similarly, the distributed data may be decoded by the clients or thestreaming server ex103, or the decoding processes may be shared betweenthe clients and the streaming server ex103. Furthermore, the data of thestill images and videos captured by not only the camera ex113 but alsothe camera ex116 may be transmitted to the streaming server ex103through the computer ex111. The coding processes may be performed by thecamera ex116, the computer ex111, or the streaming server ex103, orshared among them.

Furthermore, the coding and decoding processes may be performed by anLSI ex500 generally included in each of the computer ex111 and thedevices. The LSI ex500 may be configured of a single chip or a pluralityof chips. Software for coding and decoding moving pictures may beintegrated into some type of a recording medium (such as a CD-ROM, aflexible disk, a hard disk) that is readable by the computer ex111 andothers, and the coding and decoding processes may be performed using thesoftware. Furthermore, when the mobile phone ex114 is equipped with acamera, the video data obtained by the camera may be transmitted. Thevideo data is data coded by the LSI ex500 included in the mobile phoneex114.

Furthermore, the streaming server ex103 may be composed of servers andcomputers, and may decentralize data and process the decentralized data,record, or distribute data.

As described above, the clients may receive and reproduce the coded datain the content providing system ex100. In other words, the clients canreceive and decode information transmitted by the user, and reproducethe decoded data in real time in the content providing system ex100, sothat the user who does not have any right and equipment for suchpurposes can enjoy personal broadcasting.

Aside from the example of the content providing system ex100, at leastone of the moving picture coding apparatus and the moving picturedecoding apparatus described in any one of the embodiments may beincorporated in a digital broadcasting system ex200 as illustrated inFIG. 18. More specifically, a broadcasting station ex201 communicates ortransmits, via radio waves to a broadcasting satellite ex202,multiplexed data obtained by multiplexing audio data and others ontovideo data. This video data is data coded according to the movingpicture coding method in any one of the embodiments (that is, data codedby the image coding apparatus according to the present invention). Uponreception of the multiplexed data, the broadcasting satellite ex202transmits radio waves for broadcasting. Then, a home-use antenna ex204with a satellite broadcast reception function receives the radio waves.Next, a device such as a television (receiver) ex300 and a set top box(STB) ex217 decodes the received multiplexed data and reproduces thedecoded data (that is, as if the content were coded in the image codingapparatus according to the present invention).

Furthermore, a reader and recorder ex218 that (i) reads and decodes themultiplexed data recorded on a recording media ex215, such as a DVD anda BD, or (i) codes video signals in the recording medium ex215, and insome cases, writes data obtained by multiplexing an audio signal on thecoded data can include the moving picture decoding apparatus or themoving picture coding apparatus as shown in any one of the embodiments.In this case, the reproduced video signals are displayed on the monitorex219, and can be reproduced by another device or system using therecording medium ex215 on which the multiplexed data is recorded. It isalso possible to implement the moving picture decoding apparatus in theset top box ex217 connected to the cable ex203 for a cable television(receiver) or to the antenna ex204 for satellite and/or terrestrialbroadcasting, so as to display the video signals on the monitor ex219 ofthe television (receiver) ex300. The moving picture decoding apparatusmay be incorporated not in the set top box but in the television(receiver) ex300.

FIG. 19 illustrates the television (receiver) ex300 that uses the movingpicture coding method and the moving picture decoding method describedin any one of the embodiments. The television (receiver) ex300 includes:a tuner ex301 that obtains or provides multiplexed data obtained bymultiplexing audio data onto video data, through the antenna ex204 orthe cable ex203, etc. that receives a broadcast; a modulating anddemodulating unit ex302 that demodulates the received multiplexed dataor modulates data into multiplexed data to be supplied outside; and amultiplexing and demultiplexing unit ex303 that demultiplexes themodulated multiplexed data into video data and audio data, ormultiplexes video data and audio data coded by a signal processing unitex306 into data.

In addition, the television (receiver) ex300 includes: a signalprocessing unit ex306 including an audio signal processing unit ex304and a video signal processing unit ex305 which decode audio data andvideo data or code the information thereof, respectively (the television(receiver) 300 functions as the image coding apparatus or the imagedecoding apparatus according to the present invention); and an outputunit ex309 including a speaker ex307 which provides the decoded audiosignal, and a display unit ex308, such as a display, which displays thedecoded video signal. Furthermore, the television (receiver) ex300includes an interface unit ex317 including an operation input unit ex312that receives an input of a user operation. Furthermore, the television(receiver) ex300 includes a control unit ex310 that controls overalleach structural element of the television (receiver) ex300, and a powersupply circuit unit ex311 that supplies power to each of the elements.Other than the operation input unit ex312, the interface unit ex317 mayinclude: a bridge ex313 that is connected to an external device, such asthe reader and recorder ex218; a slot unit ex314 for enabling attachmentof the recording medium ex216, such as an SD card; a driver ex315 to beconnected to an external recording medium, such as a hard disk; and amodem ex316 to be connected to a telephone network. Here, the recordingmedium ex216 can electrically record information using a non-volatile orvolatile semiconductor memory element for storage. The structuralelements of the television (receiver) ex300 are connected to each otherthrough a synchronous bus.

First, the configuration in which the television (receiver) ex300decodes multiplexed data obtained from outside through the antenna ex204and others and reproduces the decoded data will be described. In thetelevision (receiver) ex300, upon a user operation from a remotecontroller ex220 and others, the multiplexing and demultiplexing unitex303 demultiplexes the multiplexed data demodulated by the modulatingand demodulating unit ex302, under control of the control unit ex310including a CPU. Furthermore, in the television (receiver) ex300, theaudio signal processing unit ex304 decodes the demultiplexed audio data,and the video signal processing unit ex305 decodes the demultiplexedvideo data, using the decoding method described in any one of theembodiments. The output unit ex309 provides the decoded video signal andaudio signal outside, respectively. When the output unit ex309 providesthe video signal and the audio signal, the signals may be temporarilystored in buffers ex318 and ex319, and others so that the video signalsand audio signals are reproduced in synchronization with each other.Furthermore, the television (receiver) ex300 may read multiplexed datanot through a broadcast and others but from the recording media ex215and ex216, such as a magnetic disk, an optical disk, and a SD card.Next, a configuration in which the television (receiver) ex300 codes anaudio signal and a video signal, and transmits the data outside orwrites the data on a recording medium will be described. In thetelevision (receiver) ex300, upon a user operation from the remotecontroller ex220 or the like, the audio signal processing unit ex304codes an audio signal, and the video signal processing unit ex305 codesa video signal, under control of the control unit ex310 using the codingmethod described in any one of the embodiments. The multiplexing anddemultiplexing unit ex303 multiplexes the coded video signal and audiosignal, and provides the resulting signals outside. When themultiplexing and demultiplexing unit ex303 multiplexes the video signaland the audio signal, the signals may be temporarily stored in thebuffers ex320 and ex321 or the like so that the signals are reproducedin synchronization with each other. Here, the buffers ex318, ex319,ex320, and ex321 may be plural as illustrated, or at least one buffermay be shared in the television (receiver) ex300. Furthermore, data maybe stored in a buffer so that the system overflow and underflow may beavoided between the modulating and demodulating unit ex302 and themultiplexing and demultiplexing unit ex303, other than the illustratedcases.

Furthermore, the television (receiver) ex300 may include a structuralelement for receiving an AV input from a microphone or a camera otherthan the structural element for obtaining audio and video data from abroadcast or a recording medium, and may code the obtained data.Although the television (receiver) ex300 can code, multiplex, andprovide outside data in the above description, it may be capable of onlyreceiving, decoding, and providing outside data but not the coding,multiplexing, and providing outside data.

Furthermore, when the reader and recorder ex218 reads or writesmultiplexed data from or on a recording medium, one of the television(receiver) ex300 and the reader and recorder ex218 may decode or codethe multiplexed data, and the television (receiver) ex300 and the readerand recorder ex218 may share the decoding or coding.

As an example, FIG. 20 illustrates a structure of an informationreproducing and recording unit ex400 when data is read or written fromor on an optical disk. The information reproducing and recording unitex400 includes structural elements ex401, ex402, ex403, ex404, ex405,ex406, and ex407 to be described hereinafter. The optical head ex401irradiates a laser spot in a recording surface of the recording mediumex215 that is an optical disk to write information, and detectsreflected light from the recording surface of the recording medium ex215to read the information. The modulation recording unit ex402electrically drives a semiconductor laser included in the optical headex401, and modulates the laser light according to recorded data. Thereproducing and demodulating unit ex403 amplifies a reproduction signalobtained by electrically detecting the reflected light from therecording surface using a photo detector included in the optical headex401, and demodulates the reproduction signal by separating a signalcomponent recorded on the recording medium ex215 to reproduce thenecessary information. The buffer ex404 temporarily holds theinformation to be recorded on the recording medium ex215 and theinformation reproduced from the recording medium ex215. The disk motorex405 rotates the recording medium ex215. The servo control unit ex406moves the optical head ex401 to a predetermined information track whilecontrolling the rotation drive of the disk motor ex405 so as to followthe laser spot. The system control unit ex407 controls overall theinformation reproducing and recording unit ex400. The reading andwriting processes can be performed by the system control unit ex407using various information stored in the buffer ex404 and generating andadding new information as necessary, and by the modulation recordingunit ex402, the reproduction demodulating unit ex403, and the servocontrol unit ex406 that record and reproduce information through theoptical head ex401 while being operated in a coordinated manner. Thesystem control unit ex407 includes, for example, a microprocessor, andexecutes processing by causing a computer to execute a program for readand write.

Although the optical head ex401 irradiates a laser spot in thedescription, it may perform high-density recording using near fieldlight.

FIG. 21 is a schematic diagram of the recording medium ex215 that is theoptical disk. On the recording surface of the recording medium ex215,guide grooves are spirally formed, and an information track ex230records, in advance, address information indicating an absolute positionon the disk according to change in the shape of the guide grooves. Theaddress information includes information for determining positions ofrecording blocks ex231 that are a unit for recording data. Reproducingthe information track ex230 and reading the address information in anapparatus that records and reproduces data can lead to determination ofthe positions of the recording blocks. Furthermore, the recording mediumex215 includes a data recording area ex233, an inner circumference areaex232, and an outer circumference area ex234. The data recording areaex233 is an area for use in recording the user data. The innercircumference area ex232 and the outer circumference area ex234 that areinside and outside of the data recording area ex233, respectively arefor specific use except for recording the user data. The informationreproducing and recording unit 400 reads and writes coded audio, codedvideo data, or multiplexed data obtained by multiplexing the coded audioand video data, from and on the data recording area ex233 of therecording medium ex215.

Although an optical disk having a layer, such as a DVD and a BD isdescribed as an example in the description, the optical disk is notlimited to such, and may be an optical disk having a multilayerstructure and capable of being recorded on a part other than thesurface. Furthermore, the optical disk may have a structure formultidimensional recording and reproduction, such as recording ofinformation using light of colors with different wavelengths in the sameportion of the optical disk and recording information having differentlayers from various angles.

Furthermore, in the digital broadcasting system ex200, a car ex210having an antenna ex205 can receive data from the broadcasting satelliteex202 and others, and reproduce video on a display device such as a carnavigation system ex211 set in the car ex210. Here, the car navigationsystem ex211 may be configured to further include a GPS receiving unitin addition to the configuration illustrated in FIG. 63. The same istrue for the computer ex111, the mobile phone ex114, and the like.

FIG. 22A illustrates the mobile phone ex114 that uses the moving picturecoding method and the moving picture decoding method described in anyone of the embodiments. The mobile phone ex114 includes: an antennaex350 for transmitting and receiving radio waves through the basestation ex110; a camera unit ex365 capable of capturing moving and stillimages; and a display unit ex358 such as a liquid crystal display fordisplaying the data such as decoded video captured by the camera unitex365 or received by the antenna ex350. The mobile phone ex114 furtherincludes: a main body unit including a set of operation keys ex366; anaudio output unit ex357 such as a speaker for output of audio; an audioinput unit ex356 such as a microphone for input of audio; a memory unitex367 for storing captured video or still pictures, recorded audio,coded or decoded data of the received video, the still pictures,e-mails, or others; and a slot unit ex364 that is an interface unit fora recording medium that stores data in the same manner as the memoryunit ex367.

Next, an example of a structure of the mobile phone ex114 will bedescribed with reference to FIG. 22B. In the mobile phone ex114, a maincontrol unit ex360 designed to control overall each unit of the mainbody including the display unit ex358 as well as the operation key unitex366 is connected mutually, via a synchronous bus ex370, to a powersupply circuit unit ex361, an operation input control unit ex362, avideo signal processing unit ex355, a camera interface unit ex363, aliquid crystal display (LCD) control unit ex359, a modulating anddemodulating unit ex352, a multiplexing and demultiplexing unit ex353,an audio signal processing unit ex354, the slot unit ex364, and thememory unit ex367.

When a call-end key or a power key is turned ON by a user's operation,the power supply circuit unit ex361 supplies the respective units withpower from a battery pack so as to activate the cell phone ex114.

In the mobile phone ex114, the audio signal processing unit ex354converts the audio signals collected by the audio input unit ex356 invoice conversation mode into digital audio signals under the control ofthe main control unit ex360 including a CPU, ROM, RAM, or the like.Then, the modulating and demodulating unit ex352 performs spreadspectrum processing on the digital audio signals, and the transmittingand receiving unit ex351 performs digital-to-analog conversion andfrequency conversion on the data, and transmit the resulting data viathe antenna ex350. In addition, the mobile phone ex114 amplifies thedata received via the antenna ex350 in voice conversation mode, andperforms frequency conversion and the analog-to-digital conversion onthe data. Then, the modulating and demodulating unit ex352 performsinverse spread spectrum processing on the data, the audio signalprocessing unit ex354 converts the data into analog audio signals, andthe audio output unit ex357 outputs the audio data.

Furthermore, when an e-mail in data communication mode is transmitted,text data of the e-mail inputted by operating the operation keys ex366and others of the main body is sent out to the main control unit ex360via the operation input control unit ex362. The main control unit ex360causes the modulating and demodulating unit ex352 to perform spreadspectrum processing on text data, and the transmitting and receivingunit ex351 performs the digital-to-analog conversion and the frequencyconversion on the resulting data and transmits the data to the basestation ex110 via the antenna ex350. When an e-mail is received,processing that is approximately inverse to the processing fortransmitting an e-mail is performed on the received data, and theresulting data is provided to the display unit ex358.

When video, still images, or video and audio in data communication modeis or are transmitted, the video signal processing unit ex355 compressesand video signals supplied from the camera unit ex365 using the movingpicture coding method shown in any one of the embodiments (that is, thevideo signal processing unit ex355 functions as the image codingapparatus according to the present invention), and transmits the codedvideo data to the multiplexing and demultiplexing unit ex353. Incontrast, while the camera unit ex365 is capturing video, still images,and others, the audio signal processing unit ex354 codes audio signalscollected by the audio input unit ex356, and transmits the coded audiodata to the multiplexing and demultiplexing unit ex353.

The multiplexing and demultiplexing unit ex353 multiplexes the codedvideo data supplied from the video signal processing unit ex355 and thecoded audio data supplied from the audio signal processing unit ex354,using a predetermined method. Then, the modulating and demodulating unitex352 performs spread spectrum processing on the resulting multiplexeddata. Next, the transmitting and receiving unit ex351 performsdigital-to-analog conversion and frequency conversion on the data, andtransmits the resulting data via the antenna ex350.

When receiving data of a video file which is linked to a Web page andothers in data communication mode or when receiving an e-mail with videoand/or audio attached, in order to decode the multiplexed data receivedvia the antenna ex350, the multiplexing and demultiplexing unit ex353demultiplexes the multiplexed data into a video data bit stream and anaudio data bit stream, and supplies the video signal processing unitex355 with the coded video data and the audio signal processing unitex354 with the coded audio data, through the synchronous bus ex370. Thevideo signal processing unit ex355 decodes the video signal using amoving picture decoding method corresponding to the coding method shownin any one of the embodiments (that is, the video signal processing unitex355 functions as the image coding apparatus according to the presentinvention), and then the display unit ex358 displays, for instance, thevideo and still images included in the video file linked to the Web pagevia the LCD control unit ex359. Furthermore, the audio signal processingunit ex354 decodes the audio signal, and the audio output unit ex357provides the audio.

Furthermore, similarly to the television (receiver) ex300, a terminalsuch as the mobile phone ex114 probably have three types ofimplementations including not only (i) a transmitting and receivingterminal including both a coding apparatus and a decoding apparatus, butalso (ii) a transmitting terminal including only a coding apparatus and(iii) a receiving terminal including only a decoding apparatus. Althoughthe digital broadcasting system ex200 receives and transmits themultiplexed data obtained by multiplexing audio data onto video data inthe description, the multiplexed data may be data obtained bymultiplexing not only audio data but also character data related tovideo onto video data, and may be not multiplexed data but video dataitself.

As such, each of the above described apparatuses and systems is capableof performing a corresponding one of the moving picture coding methodsand the moving picture decoding methods described in the embodiments,and thereby provides the advantageous effects described in theembodiments.

Furthermore, the present invention is not limited to the embodiments,and various modifications and revisions are possible without departingfrom the scope of the present invention.

Embodiment 4

Video data can be generated by switching, as necessary, between (i) themoving picture coding method and/or the moving picture coding apparatusshown in any one of the embodiments and (ii) a moving picture codingmethod and/or a moving picture coding apparatus in conformity with adifferent standard, such as MPEG-2, MPEG-4 AVC, and VC-1.

Here, when a plurality of video data that conforms to the differentstandards is generated and is then decoded, the decoding methods need tobe selected to conform to the different standards. However, since towhich standard each of the plurality of the video data to be decodedconform cannot be detected, there is a problem that an appropriatedecoding method cannot be selected.

In order to solve this problem, multiplexed data obtained bymultiplexing audio data and others onto video data has a structureincluding identification information indicating to which standard thevideo data conforms. Hereinafter, a description is given of the specificstructure of the multiplexed data including the video data generated inthe moving picture coding method and by the moving picture codingapparatus shown in any one of the embodiments. The multiplexed data is adigital stream in the MPEG-2 Transport Stream format.

FIG. 23 illustrates a structure of the multiplexed data. As illustratedin FIG. 23, the multiplexed data can be obtained by multiplexing atleast one of a video stream, an audio stream, a presentation graphicsstream (PG), and an interactive graphics stream. The video streamrepresents primary video and secondary video of a movie, the audiostream (IG) represents a primary audio part and a secondary audio partto be mixed with the primary audio part of a movie, and the presentationgraphics stream represents subtitles of the movie. Here, the primaryvideo is normal video to be displayed on a screen, and the secondaryvideo is video to be displayed on a smaller window in the main video.Furthermore, the interactive graphics stream represents an interactivescreen to be generated by arranging the GUI components on a screen. Thevideo stream is coded in the moving picture coding method or by themoving picture coding apparatus shown in any one of the embodiments, orin a moving picture coding method or by a moving picture codingapparatus in conformity with any one of the conventional standards suchas MPEG-2, MPEG-4 AVC, and VC-1. The audio stream is coded in accordancewith a standard, such as Dolby-AC-3, Dolby Digital Plus, MLP, DTS,DTS-HD, and linear PCM.

Each stream included in the multiplexed data is identified by PID. Forexample, 0x1011 is allocated to the video stream to be used for video ofa movie, 0x1100 to 0x111F are allocated to the audio streams, 0x1200 to0x121F are allocated to the presentation graphics streams, 0x1400 to0x141F are allocated to the interactive graphics streams, 0x1B00 to0x1B1F are allocated to the video streams to be used for secondary videoof the movie, and 0x1A00 to 0x1A1F are allocated to the audio streams tobe used for the secondary video to be mixed with the primary audio.

FIG. 24 schematically illustrates how data is multiplexed. First, avideo stream ex235 composed of video frames and an audio stream ex238composed of audio frames are transformed into a stream of PES packetsex236 and a stream of PES packets ex239, and further into TS packetsex237 and TS packets ex240, respectively. Similarly, data of apresentation graphics stream ex241 and data of an interactive graphicsstream ex244 are transformed into a stream of PES packets ex242 and astream of PES packets ex245, respectively, and further into TS packetsex243 and TS packets ex246, respectively. These TS packets aremultiplexed into a stream to obtain multiplexed data ex247.

FIG. 25 illustrates how a video stream is stored in a stream of PESpackets in more detail. The first bar in FIG. 25 shows a video framestream in a video stream. The second bar shows the stream of PESpackets. As indicated by arrows denoted as yy1, yy2, yy3, and yy4 inFIG. 25, the video stream is divided into pictures as I-pictures,B-pictures, and P-pictures each of which is a video presentation unit,and the pictures are stored in a payload of each of the PES packets.Each of the PES packets has a PES header, and the PES header stores aPresentation Time-Stamp (PTS) indicating a display time of the picture,and a Decoding Time-Stamp (DTS) indicating a decoding time of thepicture.

FIG. 26 illustrates a format of TS packets to be finally written on themultiplexed data. Each of the TS packets is a 188-byte fixed lengthpacket including a 4-byte TS header having information, such as a PIDfor identifying a stream and a 184-byte TS payload for storing data. ThePES packets are divided, and stored in the TS payloads, respectively.When a BD ROM is used, each of the TS packets is given a 4-byteTP_Extra_Header, thus resulting in 192-byte source packets. The sourcepackets are written on the multiplexed data. The TP_Extra_Header storesinformation such as an Arrival_Time_Stamp (ATS). The ATS shows atransfer start time at which each of the TS packets is to be transferredto a PID filter. The source packets are arranged as shown in thelowermost bar in FIG. 26. The numbers incrementing from the head of themultiplexed data are called source packet numbers (SPNs).

Each of the TS packets included in the multiplexed data includes notonly streams of audio, video, subtitles and others, but also a ProgramAssociation Table (PAT), a Program Map Table (PMT), and a Program ClockReference (PCR). The PAT shows what a PID in a PMT used in themultiplexed data indicates, and a PID of the PAT itself is registered aszero. The PMT stores PIDs of the streams of video, audio, subtitles andothers included in the multiplexed data, and attribute information ofthe streams corresponding to the PIDs. The PMT also has variousdescriptors relating to the multiplexed data. The descriptors haveinformation such as copy control information showing whether copying ofthe multiplexed data is permitted or not. The PCR stores STC timeinformation corresponding to an ATS showing when the PCR packet istransferred to a decoder, in order to achieve synchronization between anArrival Time Clock (ATC) that is a time axis of ATSs, and an System TimeClock (STC) that is a time axis of PTSs and DTSs.

FIG. 27 illustrates the data structure of the PMT in detail. A PMTheader is disposed at the top of the PMT. The PMT header describes thelength etc. of data included in the PMT. A plurality of descriptorsrelating to the multiplexed data is disposed after the PMT header.Information such as the copy control information is described in thedescriptors. After the descriptors, a plurality of pieces of streaminformation relating to the streams included in the multiplexed data isdisposed. Each piece of stream information includes stream descriptorseach describing information, such as a stream type for identifying acompression codec etc. of a stream, a stream PID, and stream attributeinformation (such as a frame rate, an aspect ratio, or the like). Thestream descriptors are equal in number to the number of streams in themultiplexed data.

When the multiplexed data is recorded onto a recording medium etc., itis recorded together with multiplexed data information files.

Each of the multiplexed data information files is management informationof the multiplexed data as shown in FIG. 28. The multiplexed datainformation files are in one to one correspondence with the multiplexeddata, and each of the files includes multiplexed data information,stream attribute information, and an entry map.

As illustrated in FIG. 28, the multiplexed data includes a system rate,a reproduction start time, and a reproduction end time. The system rateindicates the maximum transfer rate at which a system target decoder tobe described later transfers the multiplexed data to a PID filter. Theintervals of the ATSs included in the multiplexed data are set to nothigher than a system rate. The reproduction start time indicates a PTSin a video frame at the head of the multiplexed data. An interval of oneframe is added to a PTS in a video frame at the end of the multiplexeddata, and the PTS is set to the reproduction end time.

As shown in FIG. 29, a piece of attribute information is registered inthe stream attribute information, for each PID of each stream includedin the multiplexed data. Each piece of attribute information hasdifferent information depending on whether the corresponding stream is avideo stream, an audio stream, a presentation graphics stream, or aninteractive graphics stream. Each piece of video stream attributeinformation carries information including what kind of compression codecis used for compressing the video stream, and the resolution, aspectratio and frame rate of the pieces of picture data included in the videostream. Each piece of audio stream attribute information carriesinformation including what kind of compression codec is used forcompressing the audio stream, how many channels are included in theaudio stream, which language the audio stream supports, and how high thesampling frequency is. The video stream attribute information and theaudio stream attribute information are used for initialization of adecoder before the player plays back the information.

In this embodiment, the multiplexed data to be used among themultiplexed data is of a stream type included in the PMT. Furthermore,when the multiplexed data is recorded on a recording medium, the videostream attribute information included in the multiplexed datainformation is used. More specifically, the moving picture coding methodor the moving picture coding apparatus described in any one of theembodiments includes a step or a unit for allocating unique informationindicating video data generated by the moving picture coding method orthe moving picture coding apparatus in any one of the embodiments, tothe stream type included in the PMT or the video stream attributeinformation. With this structure, the video data generated by the movingpicture coding method or the moving picture coding apparatus describedin any one of the embodiments can be distinguished from video data thatconforms to another standard.

Furthermore, FIG. 30 illustrates steps of the moving picture decodingmethod according to this embodiment. In Step exS100, the stream typeincluded in the PMT or the video stream attribute information isobtained from the multiplexed data. Next, in Step exS101, it isdetermined whether or not the stream type or the video stream attributeinformation indicates that the multiplexed data is generated by themoving picture coding method or the moving picture coding apparatus inany one of the embodiments. When it is determined that the stream typeor the video stream attribute information indicates that the multiplexeddata is generated by the moving picture coding method or the movingpicture coding apparatus in any one of the embodiments, in Step exS102,the stream type or the video stream attribute information is decoded bythe moving picture decoding method in any one of the embodiments.Furthermore, when the stream type or the video stream attributeinformation indicates conformance to any one of the conventionalstandards such as MPEG-2, MPEG-4 AVC, and VC-1, in Step exS103, thestream type or the video stream attribute information is decoded by amoving picture decoding method in conformity with any one of theconventional standards.

As such, allocating a new unique value to the stream type or the videostream attribute information enables determination whether or not themoving picture decoding method or the moving picture decoding apparatusthat is described in any one of the embodiments can perform decoding.Even when multiplexed data that conforms to a different standard, anappropriate decoding method or apparatus can be selected. Thus, itbecomes possible to decode information without any error. Furthermore,the moving picture coding method or apparatus, or the moving picturedecoding method or apparatus in this embodiment can be used in thedevices and systems described above.

Embodiment 5

Each of the moving picture coding method, the moving picture codingapparatus, the moving picture decoding method, and the moving picturedecoding apparatus in any one of the embodiments is typically achievedin the form of an integrated circuit or a Large Scale Integrated (LSI)circuit. As an example of the LSI, FIG. 31 illustrates a configurationof the LSI ex500 that is made into one chip. The LSI ex500 includeselements ex501, ex502, ex503, ex504, ex505, ex506, ex507, ex508, andex509 to be described below, and the elements are connected to eachother through a bus ex510. The power supply circuit unit ex505 isactivated by supplying each of the elements with power when the powersupply circuit unit ex505 is turned on.

For example, when coding is performed, the LSI ex500 receives an AVsignal from a microphone ex117, a camera ex113, and others through an AVI/O ex509 under control of a control unit ex501 including a CPU ex502, amemory controller ex503, a stream controller ex504, and a drivingfrequency control unit ex512. The received AV signal is temporarilystored in an external memory ex511, such as an SDRAM. Under control ofthe control unit ex501, the stored data is segmented into data portionsaccording to the processing amount and speed to be transmitted to asignal processing unit ex507. Then, the signal processing unit ex507codes an audio signal and/or a video signal. Here, the coding of thevideo signal is the coding described in any one of the embodiments.Furthermore, the signal processing unit ex507 multiplexes the codedaudio data and the coded video data as necessary, and a stream I/O ex506outputs the multiplexed data. The provided multiplexed data istransmitted to a base station ex107, or written onto the recording mediaex215. Prior to the multiplexing, the audio and video data be preferablytemporarily stored in the buffer ex508 so that the audio and video dataare synchronized with each other.

Although the memory ex511 is described as an element outside the LSIex500, it may be included in the LSI ex500. The buffer ex508 is notlimited to one buffer, but may be composed of buffers. Furthermore, theLSI ex500 may be made into a single chip or a plurality of chips.

Furthermore, although the control unit ex501 includes the CPU ex502, thememory controller ex503, the stream controller ex504, the drivingfrequency control unit ex512, the configuration of the control unitex501 is not limited to such. For example, the signal processing unitex507 may further include a CPU. Inclusion of another CPU in the signalprocessing unit ex507 can improve the processing speed. Furthermore, asanother example, the CPU ex502 may serve as or be a part of the signalprocessing unit ex507, and, for example, may include an audio signalprocessing unit. In such a case, the control unit ex501 includes thesignal processing unit ex507 or the CPU ex502 including a part of thesignal processing unit ex507.

The name used here is LSI, but it may also be called IC, system LSI,super LSI, or ultra LSI depending on the degree of integration.

Moreover, ways to achieve integration are not limited to the LSI, and aspecial circuit or a general purpose processor and so forth can alsoachieve the integration. Field Programmable Gate Array (FPGA) that canbe programmed after manufacturing LSIs or a reconfigurable processorthat allows re-configuration of the connection or configuration of anLSI can be used for the same purpose.

In the future, with advancement in semiconductor technology, a brand-newtechnology may replace LSI. The functional blocks can be integratedusing such a technology. Application of biotechnology is one suchpossibility.

Embodiment 6

When video data is decoded in the moving picture coding method or by themoving picture coding apparatus described in any one of the embodiment,the processing amount probably increases compared to when video datathat conforms to any one of the conventional standards such as MPEG-2,MPEG-4 AVC, and VC-1. Thus, the LSI ex500 needs to be set to a drivingfrequency higher than that of the CPU ex502 to be used when video datain conformity with any one of the conventional standards is decoded.However, when the driving frequency is set higher, there is a problemthat the power consumption increases.

In order to solve this problem, the moving picture decoding apparatus,such as the television (receiver) ex300, the LSI ex500, or the like isconfigured to determine to which standard the video data conforms, andswitch between the driving frequencies according to the determinedstandard. FIG. 32 illustrates a structure of ex800 in this embodiment. Adriving frequency switching unit ex803 sets a driving frequency to ahigher driving frequency when video data is generated by the movingpicture coding method or the moving picture coding apparatus describedin any one of the embodiments. Then, the driving frequency switchingunit ex803 instructs a decoding processing unit ex801 that executes themoving picture decoding method described in any one of the embodimentsto decode the video data. When the video data conforms to any one of theconventional standards, the driving frequency switching unit ex803 setsa driving frequency to a lower driving frequency than that of the videodata generated by the moving picture coding method or the moving picturecoding apparatus described in any one of the embodiments. Then, thedriving frequency switching unit ex803 instructs the decoding processingunit ex802 that conforms to any one of the conventional standards todecode the video data.

More specifically, the driving frequency switching unit ex803 includesthe CPU ex502 and the driving frequency control unit ex512 in FIG. 31.Here, each of the decoding processing unit ex801 that executes themoving picture decoding method described in any one of the embodimentsand the decoding processing unit ex802 that conforms to any one of theconventional standards corresponds to the signal processing unit ex507in FIG. 31. The CPU ex502 determines to which standard the video dataconforms. Then, the driving frequency control unit ex512 determines adriving frequency based on a signal from the CPU ex502. Furthermore, thesignal processing unit ex507 decodes the video data based on a signalfrom the CPU ex502. For example, the identification informationdescribed in Embodiment 4 is probably used for identifying the videodata. The identification information is not limited to the one describedin Embodiment 4 but may be any information as long as the informationindicates to which standard the video data conforms. For example, whenwhich standard video data conforms to can be determined based on anexternal signal for determining that the video data is used for atelevision (receiver) or a disk, etc., the determination may be madebased on such an external signal. Furthermore, the CPU ex502 selects adriving frequency based on, for example, a look-up table in which thestandards of the video data are associated with the driving frequenciesas shown in FIG. 34. The driving frequency can be selected by storingthe look-up table in the buffer ex508 and an internal memory of an LSIand with reference to the look-up table by the CPU ex502.

FIG. 33 illustrates steps for executing a method in this embodiment.First, in Step exS200, the signal processing unit ex507 obtainsidentification information from the multiplexed data. Next, in StepexS201, the CPU ex502 determines whether or not the video data isgenerated based on the identification information by the coding methodand the coding apparatus described in any one of the embodiments. Whenthe video data is generated by the moving picture coding method and themoving picture coding apparatus described in any one of the embodiments,in Step exS202, the CPU ex502 transmits a signal for setting the drivingfrequency to a higher driving frequency to the driving frequency controlunit ex512. Then, the driving frequency control unit ex512 sets thedriving frequency to the higher driving frequency. On the other hand,when the identification information indicates that the video dataconforms to any one of the conventional standards such as MPEG-2, MPEG-4AVC, and VC-1, in Step exS203, the CPU ex502 transmits a signal forsetting the driving frequency to a lower driving frequency to thedriving frequency control unit ex512. Then, the driving frequencycontrol unit ex512 sets the driving frequency to the lower drivingfrequency than that in the case where the video data is generated by themoving picture coding method and the moving picture coding apparatusdescribed in any one of the embodiments.

Furthermore, along with the switching of the driving frequencies, thepower conservation effect can be improved by changing the voltage to beapplied to the LSI ex500 or an apparatus including the LSI ex500. Forexample, when the driving frequency is set lower, the voltage to beapplied to the LSI ex500 or the apparatus including the LSI ex500 isprobably set to a voltage lower than that in the case where the drivingfrequency is set higher.

Furthermore, when the processing amount for decoding is larger, thedriving frequency may be set higher, and when the processing amount fordecoding is smaller, the driving frequency may be set lower as themethod for setting the driving frequency. Thus, the setting method isnot limited to the ones described above. For example, when theprocessing amount for decoding video data in conformity with MPEG-3 AVCis larger than the processing amount for decoding video data generatedby the moving picture coding method and the moving picture codingapparatus described in any one of the embodiments, the driving frequencyis probably set in reverse order to the setting described above.

Furthermore, the method for setting the driving frequency is not limitedto the method for setting the driving frequency lower. For example, whenthe identification information indicates that the video data isgenerated by the moving picture coding method and the moving picturecoding apparatus described in any one of the embodiments, the voltage tobe applied to the LSI ex500 or the apparatus including the LSI ex500 isprobably set higher. When the identification information indicates thatthe video data conforms to the conventional standard, such as MPEG-2,MPEG-4 AVC, and VC-1, the voltage to be applied to the LSI ex500 or theapparatus including the LSI ex500 is probably set lower. As anotherexample, when the identification information indicates that the videodata is generated by the moving picture coding method and the movingpicture coding apparatus described in any one of the embodiments, thedriving of the CPU ex502 does not probably have to be suspended. Whenthe identification information indicates that the video data conforms tothe conventional standard, such as MPEG-2, MPEG-4 AVC, and VC-1, thedriving of the CPU ex502 is probably suspended at a given time becausethe CPU ex502 has extra processing capacity. Even when theidentification information indicates that the video data is generated bythe moving picture coding method and the moving picture coding apparatusdescribed in any one of the embodiments, in the case where the CPU ex502may have a time delay, the driving of the CPU ex502 is probablysuspended at a given time. In such a case, the suspending time isprobably set shorter than that in the case where when the identificationinformation indicates that the video data conforms to any one of theconventional standards such as MPEG-2, MPEG-4 AVC, and VC-1.

Accordingly, the power saving effect can be improved by switchingbetween the driving frequencies in accordance with the standard to whichthe video data conforms. Furthermore, when the LSI ex500 or theapparatus including the LSI ex500 is driven using a battery, the batterylife can be extended with the power saving effect.

Embodiment 7

There are cases where a plurality of video data that conforms to adifferent standard, is provided to the devices and systems, such as atelevision (receiver) and a mobile phone. In order to enable decoding ofthe plurality of video data that conforms to the different standards,the signal processing unit ex507 of the LSI ex500 needs to conform tothe different standards. However, the problems of increase in the scaleof the circuit of the LSI ex500 and increase in the cost arise with theindividual use of the signal processing unit ex507 that conforms to therespective standards.

What is conceived to solve the problem is a structure for partly sharingthe decoding processing unit for implementing the moving picturedecoding method described in any one of the embodiments and the decodingprocessing unit that conforms to any one of the conventional standardssuch as MPEG-2, MPEG-4 AVC, and VC-1. An example of this structure isshown as ex900 in FIG. 35A. For example, the moving picture decodingmethod described in any one of the embodiments and the moving picturedecoding method that conforms to MPEG-4 AVC have, partly in common, thedetails of processes such as entropy coding, inverse quantization,deblocking filtering, and motion compensated prediction. The details ofprocesses to be shared probably include use of a decoding processingunit ex902 that conforms to MPEG-4 AVC. In contrast, a dedicateddecoding processing unit ex901 is probably used for other processeswhich is unique to the present invention and thus do not conform to theMPEG-4 AVC. In particular, the present invention is characterized in theentropy coding. Thus, for example, the decoding processing unit ex901 isused for the entropy coding, and a shared decoding processing unit maybe used for any one of or all of the other processes such as the inversequantization, deblocking filtering, and motion compensation. As for suchsharing of a decoding processing unit, the shared decoding processingunit is used for performing sharable processes in the moving picturedecoding method described in any one of the embodiments, while adedicated decoding processing unit may be used for processes unique toMPEG-4 AVC Standard.

Furthermore, ex1000 in FIG. 35B shows another example for partiallysharing such processes. This example uses a structure including adedicated decoding processing unit ex1001 that supports the processesunique to the present invention, a dedicated decoding processing unitex1002 that supports the processes unique to another one of theconventional standards, and a decoding processing unit ex1003 thatsupports processing to be shared between the moving picture decodingmethod in the present invention and the conventional moving picturedecoding method. Here, the dedicated decoding processing units ex1001and ex1002 are not necessarily specialized for the processing of thepresent invention and the processing of any one of the conventionalstandards, respectively, and may be the ones capable of implementinggeneral processing. Furthermore, the structure of this embodiment can beimplemented by the LSI ex500.

As such, the scale of the circuit of an LSI and the cost can be reducedby sharing the decoding processing unit for the processing sharablebetween the moving picture decoding method in the present invention andthe moving picture decoding method in conformity with any one of theconventional standards.

Although only some exemplary embodiments of the present invention havebeen described in detail above, those skilled in the art will readilyappreciate that many modifications are possible in the exemplaryembodiments without materially departing from the novel teachings andadvantages of the present invention. Accordingly, all such modificationsare intended to be included within the scope of the present invention.

INDUSTRIAL APPLICABILITY

An image coding method, an image decoding method, an image codingapparatus, an image decoding apparatus, and an image coding and decodingapparatus are applicable to, for example, information displayapparatuses and image capturing apparatuses which support highresolution. Examples of such apparatuses include a television receiver,a digital video recorder, a car navigation system, a mobile phone, adigital camera, and a digital video camera.

1. (canceled)
 2. An image decoding method for decoding a coded imagecomprising: obtaining current signals to be decoded of each ofprocessing units of the coded image; selecting a context of each of thecurrent signals to be decoded from among a plurality of contexts; andperforming arithmetic decoding of the current signal to be decoded byusing decoded probability information associated with the contextselected in said selecting; wherein a shared context is set in advance,wherein, in said selecting, the shared context is selected as thecontext for the current signal to be decoded in the case where a size ofthe processing unit which includes the current signal to be decoded is ablock size of 16×16, and in the case where the size of the processingunit which includes the current signal to be decoded is a block size of32×32, and wherein, in said selecting, a dedicated context is selectedas the context for the current signal to be decoded in the case wherethe size of the processing unit which includes the current signal to bedecoded is smaller than the block size of 16×16.
 3. An apparatus fordecoding a coded image comprising: a processor; and a non-transitorymemory having stored thereon executable instructions, which whenexecuted by the processor, cause the processor to perform: obtainingcurrent signals to be decoded of each of processing units of the codedimage; selecting a context of each of the current signals to be decodedfrom among a plurality of contexts; and performing arithmetic decodingof the current signal to be decoded by using decoded probabilityinformation associated with the context selected in said selecting;wherein a shared context is set in advance, wherein, in said selecting,the shared context is selected as the context for the current signal tobe decoded in the case where a size of the processing unit whichincludes the current signal to be decoded is a block size of 16×16, andin the case where the size of the processing unit which includes thecurrent signal to be decoded is a block size of 32×32, and wherein, insaid selecting, a dedicated context is selected as the context for thecurrent signal to be decoded in the case where the size of theprocessing unit which includes the current signal to be decoded issmaller than the block size of 16×16.
 4. A non-transitory memory havingstored thereon executable instructions for decoding a coded image, whichwhen executed by a processor, cause the processor to perform: obtainingcurrent signals to be decoded of each of processing units of the codedimage; selecting a context of each of the current signals to be decodedfrom among a plurality of contexts; and performing arithmetic decodingof the current signal to be decoded by using decoded probabilityinformation associated with the context selected in said selecting;wherein a shared context is set in advance, wherein, in said selecting,the shared context is selected as the context for the current signal tobe decoded in the case where a size of the processing unit whichincludes the current signal to be decoded is a block size of 16×16, andin the case where the size of the processing unit which includes thecurrent signal to be decoded is a block size of 32×32, and wherein, insaid selecting, a dedicated context is selected as the context for thecurrent signal to be decoded in the case where the size of theprocessing unit which includes the current signal to be decoded issmaller than the block size of 16×16.